Publications

Mila is a research institute in artificial intelligence which rallies 500 researchers specializing in the field of deep learning. Here is a directory of their publications, from 2018 to 2020.

Last updated: July 15th 2020

computer science (534)artificial intelligence (423)machine learning (243)pattern recognition (84)deep learning (69)mathematical optimization (68)artificial neural network (64)reinforcement learning (62)mathematics (52)natural language processing (47)computer vision (39)theoretical computer science (37)algorithm (35)generative grammar (32)graph (31)inference (30)psychology (29)recurrent neural network (27)biology (27)engineering (25)robustness (22)adversarial system (22)speech recognition (21)feature learning (20)cognitive psychology (18)convergence (17)distributed computing (17)real time computing (17)data mining (16)segmentation (16)convolutional neural network (16)scalability (15)exploit (15)neuroscience (15)information retrieval (14)human computer interaction (14)medicine (14)genetics (14)data science (14)probabilistic logic (14)control engineering (14)visualization (13)robot (13)sampling (12)encoder (12)computation (12)differentiable function (11)software (11)recursion (11)applied mathematics (11)transfer of learning (11)interpolation (11)bayesian probability (10)deep neural networks (10)rendering (10)ranking (10)graph neural networks (9)parallel computing (9)decoding methods (9)architecture (9)residual (9)regularization (9)task analysis (9)embedding (9)nonlinear system (8)encoding (8)internal medicine (8)mutual information (8)ground truth (8)generative model (8)abstraction (8)recommender system (8)data set (7)latent variable (7)syntax (7)classifier (7)population (7)computational biology (7)parsing (7)matrix (7)monte carlo method (7)estimator (7)supervised learning (7)forgetting (7)trajectory (7)encode (6)cluster analysis (6)markov decision process (6)invariant (6)importance sampling (6)algebra (6)data modeling (6)regular polygon (6)chemistry (6)physics (6)image segmentation (6)neuroimaging (6)control theory (6)endocrinology (6)global positioning system (6)cognitive science (6)solver (6)voxel (6)unsupervised learning (6)upper and lower bounds (6)domain adaptation (6)manifold (6)filter (6)computer network (6)backpropagation (6)maxima and minima (6)operator (6)spectrogram (6)sentence (6)end to end principle (5)perception (5)linguistics (5)language model (5)internet privacy (5)labeled data (5)annotation (5)markov chain (5)channel (5)regression (5)social network (5)imitation learning (5)throughput (5)electronic engineering (5)semantics (5)interpretability (5)genome (5)energy consumption (5)convolution (5)programming language (5)graphical model (5)robotics (5)parametric statistics (5)binary number (5)bellman equation (5)continual learning (5)rate of convergence (5)the internet (5)empirical research (5)data driven (4)ray tracing (4)synchronization (4)gradient descent (4)bottleneck (4)treebank (4)mnist database (4)dimensionality reduction (4)radiology (4)computer graphics images (4)autoregressive model (4)cloud computing (4)initialization (4)intuition (4)source code (4)data structure (4)natural language (4)language acquisition (4)maximization (4)active learning (4)state space (4)optimization problem (4)bandwidth (4)usability (4)human brain (4)cognition (4)modalities (4)sensory system (4)multiple sclerosis (4)integer programming (4)asynchronous communication (4)social media (4)training set (4)observability (4)computer engineering (4)kronecker delta (4)stochastic gradient descent (4)optimization algorithm (4)discriminator (4)residual neural network (4)normalization (4)overfitting (4)biomedical image (4)expressivity (4)scheduling (4)tracing (4)automatic summarization (4)question answering (4)single image (4)health care (4)discrete mathematics (4)linear programming (4)quadratic programming (4)quadratic equation (4)discriminative model (4)autoencoder (4)heuristic (4)gating (3)electroencephalography (3)cognitive neuroscience of visual object recognition (3)industrial engineering (3)feature engineering (3)architectural engineering (3)separable space (3)personalization (3)quantization (3)global illumination (3)pandemic (3)knowledge management (3)coronavirus disease 2019 (3)high dimensional (3)contextual image classification (3)friendship (3)python (3)modular design (3)implementation (3)systems neuroscience (3)psychological resilience (3)dna sequencing (3)chromosome conformation capture (3)feature extraction (3)data type (3)dynamical systems theory (3)logistic regression (3)discrete choice (3)clothing (3)computer hardware (3)stationary point (3)polar (3)markov process (3)bioinformatics (3)spoken language (3)computer security (3)momentum (3)machine translation (3)autism (3)suite (3)flow (3)softmax function (3)directed acyclic graph (3)obfuscation (3)stochastic process (3)parametrization (3)information bottleneck method (3)ranging (3)black box (3)tracking system (3)biological neural network (3)arithmetic (3)lesion (3)combinatorial optimization problem (3)planner (3)statistics (3)messenger rna (3)gene (3)recall (3)kernel (3)boosting (3)target distribution (3)code generation (3)distillation (3)still face (3)learning problem (3)inertial measurement unit (3)correctness (3)mechanical ventilation (3)gestational age (3)birth weight (3)anesthesia (3)fluorescence (3)synaptic plasticity (3)biochemistry (3)biological system (3)mobile device (3)random forest (3)embodied cognition (3)markov chain monte carlo (3)hyperparameter optimization (3)variance reduction (3)stochastic optimization (3)tree structure (3)open problem (3)inversion (3)feasible region (3)feature vector (3)equivalence (3)bayesian inference (3)systems engineering (3)database (3)point cloud (3)disease progression (3)hierarchy (3)network architecture (3)pixel (3)image translation (3)scattering (3)function approximation (3)supplementary data (3)radiance (3)smoothness (3)open source (3)undersampling (3)wireless sensor network (3)image generation (3)animation (3)mixture model (3)credit assignment (3)speedup (3)probability distribution (3)sentiment analysis (3)lexicon (3)motion capture (3)structured prediction (3)visual reasoning (3)building energy (2)raw data (2)differential privacy (2)minification (2)gradient method (2)information geometry (2)compression (2)conditioning (2)top down and bottom up design (2)pruning (2)syntactic structure (2)precomputation (2)path tracing (2)big data (2)severe acute respiratory syndrome coronavirus 2 (2)contact tracing (2)2019 20 coronavirus outbreak (2)performance improvement (2)mahalanobis distance (2)social support (2)developmental psychology (2)brain morphometry (2)biobank (2)duality (2)mr images (2)iterative reconstruction (2)signal processing (2)computer architecture (2)loneliness (2)chromatin immunoprecipitation (2)urban environment (2)travel time (2)geography (2)lesion segmentation (2)universal dependencies (2)interlingua (2)intrinsic value (2)canonical correlation (2)behavioral data (2)dynamical system (2)tomography (2)sigmoid function (2)histogram (2)marketing (2)environmental resource management (2)economics (2)country of origin (2)condensed matter physics (2)sample size determination (2)receiver operating characteristic (2)convex function (2)cmos (2)kalman filter (2)speech synthesis (2)visual odometry (2)pose (2)column generation (2)prefrontal cortex (2)hippocampus (2)categorical variable (2)assembly language (2)baseline (2)zero shot learning (2)vocabulary (2)causal inference (2)graph generation (2)domain knowledge (2)data density (2)text generation (2)natural language generation (2)situation awareness (2)decision making (2)continuous optimization (2)constrained optimization (2)learning environment (2)salient (2)reachability (2)modularity (2)joint probability distribution (2)time series (2)lossless compression (2)transport engineering (2)learning methods (2)laplacian matrix (2)optimal control (2)linear function (2)inferior frontal gyrus (2)content analysis (2)locus (2)ecology (2)search algorithm (2)physical medicine and rehabilitation (2)gaussian process (2)bayesian optimization (2)magnetoencephalography (2)electrophysiology (2)molecular biology (2)cerebral cortex (2)bigbrain (2)magnetic resonance imaging (2)assignment problem (2)vehicle frame (2)intelligent transportation system (2)parvalbumin (2)optogenetics (2)interneuron (2)model complexity (2)confounding (2)algorithm design (2)untranslated region (2)drosophila melanogaster (2)materials science (2)emerging markets (2)cross national (2)consumer behaviour (2)china (2)iterated function (2)revenue (2)kernel method (2)transcription (2)regulation of gene expression (2)rna (2)dna (2)chromatin (2)computational science (2)compiler (2)linear regression (2)successor cardinal (2)resting state fmri (2)kernel regression (2)inorganic chemistry (2)genetic algorithm (2)drone (2)sensor array (2)selectivity (2)luminescence (2)timit (2)hippocampal formation (2)metal organic framework (2)markov random field (2)deep sequencing (2)coding region (2)biotechnology (2)biological data (2)management science (2)network on (2)gesture (2)job shop scheduling (2)data transmission (2)data center (2)neural information processing (2)german (2)gait (2)gradient based algorithm (2)curvature (2)superresolution (2)neuron (2)inference engine (2)gossip (2)power graph analysis (2)parameterized complexity (2)combinatorial optimization (2)action selection (2)hessian matrix (2)finite set (2)lipschitz continuity (2)line search (2)optimization methods (2)large class (2)eigenvalues and eigenvectors (2)intelligent agent (2)generality (2)data visualization (2)data point (2)coherence (2)bisimulation (2)traceability (2)software engineering (2)training methods (2)random walk (2)monte carlo integration (2)control variates (2)winograd schema challenge (2)commonsense reasoning (2)terrain (2)regret (2)salience (2)medical imaging (2)disease (2)masking (2)human multitasking (2)combinatorics (2)maximum a posteriori estimation (2)non convex optimization (2)fixed point (2)calcium imaging (2)novelty (2)imitation (2)social effects (2)pure mathematics (2)electronic health record (2)econometrics (2)robot control (2)mathematical proof (2)semi supervised learning (2)coreference (2)conversation (2)benchmark data (2)object detection (2)image processing (2)database transaction (2)confidentiality (2)access control (2)electricity (2)complex number (2)discounting (2)constraint programming (2)wireless network (2)smart grid (2)controller (2)through the lens metering (2)open source software (2)relevant information (2)oncology (2)visibility (2)data model (2)knowledge graph (2)reproducibility (2)quaternion (2)backtracking (2)infomax (2)partially observable markov decision process (2)collision (2)hybrid monte carlo (2)leverage (2)learning theory (2)tensor (2)state of charge (2)health records (2)clinical events (2)gene expression (2)adaptive sampling (2)fidelity (2)diabetes mellitus (2)world wide web (2)graph classification (2)sequence learning (2)observational learning (2)bridging (2)latent semantic analysis (2)cyber physical system (2)law enforcement (2)cybercrime (2)gyroscope (2)acceleration (2)inverse reinforcement learning (2)inverse optimization (2)clinical trial (2)scaling (2)affine transformation (2)single step (2)decision boundary (2)singing (2)odometry (2)topology (2)natural language understanding (2)simulation (2)time frequency analysis (2)monaural (2)extremely preterm (2)iterative refinement (2)scale space segmentation (2)computed tomography (2)feed forward (2)bounded function (2)question generation (2)stimulus (1)repetition priming (1)millisecond (1)information processing (1)fixation (1)predictive controller (1)physical model (1)energy distribution (1)data source (1)relational database (1)information privacy (1)data release (1)data publishing (1)perfect competition (1)facility location problem (1)cutting plane method (1)convexity (1)operationalization (1)exponential family (1)transport network (1)cellular dynamics (1)verification problem (1)perceptron (1)equivariant map (1)variational learning (1)temporal difference learning (1)interference (1)relationship extraction (1)horizon (1)curse (1)hamiltonian (1)iterated learning (1)gradient estimation (1)chemical space (1)black swan theory (1)politics (1)media studies (1)fact checking (1)astronomy (1)ground (1)expression (1)information seeking (1)comprehension (1)social preferences (1)learning machine (1)cultural values (1)vectorization (1)bidirectional scattering distribution function (1)spark (1)personally identifiable information (1)mobile apps (1)cloud rendering (1)vector space (1)linear subspace (1)distributional semantics (1)metric (1)adaptation strategies (1)metropolis light transport (1)social brain (1)evolution of human intelligence (1)bayesian hierarchical modeling (1)nonlinear mixed integer programming (1)integer (1)parallel imaging (1)compressed sensing (1)toolbox (1)standard algorithms (1)matlab (1)trial and error (1)mind wandering (1)human intelligence (1)default mode network (1)continuous evaluation (1)independent and identically distributed random variables (1)social isolation (1)social environment (1)social distance (1)life satisfaction (1)distress (1)sequencing data (1)primer (1)genome browser (1)vehicle routing problem (1)time windows (1)tabu search heuristic (1)tabu search (1)standardization (1)research opportunities (1)radiomics (1)optics (1)model building (1)analytics (1)data sharing (1)topic model (1)precision medicine (1)missing data (1)health informatics (1)diagnosis code (1)data integration (1)collaborative filtering (1)white matter lesion (1)improved performance (1)image segmentation algorithm (1)dice (1)transgender (1)normative (1)gender identity (1)functional brain (1)voting (1)oscillation (1)attractor (1)high dose rate brachytherapy (1)dosimetry (1)brachytherapy (1)absorbed dose (1)original data (1)numeric data (1)network structure (1)multidimensional scaling (1)isomorphism (1)traffic conditions (1)real time data (1)decision rule (1)choice set (1)sustainable clothing (1)sustainability (1)sensory cue (1)consumer choice (1)altruism (1)tellurate (1)paramagnetism (1)magnetism (1)magnetic refrigeration (1)ion (1)honeycomb (1)heat capacity (1)antiferromagnetism (1)map inference (1)triage (1)retrospective cohort study (1)radiological weapon (1)pleural effusion (1)interventional radiology (1)wave field (1)sound propagation (1)reciprocal (1)coding (1)risc v (1)instruction set (1)electronic circuit (1)barrel processor (1)barrel (1)invertible matrix (1)chip (1)transmitter power output (1)renewal theory (1)optimal estimation (1)gene dosage (1)psychiatry (1)service provider (1)range query (1)outsourcing (1)homomorphic encryption (1)encryption (1)visual scale (1)monocular (1)loop closure (1)direct methods (1)engineering drawing (1)nested set model (1)logit (1)dynamic network analysis (1)data collection (1)bittorrent tracker (1)memory consolidation (1)initial training (1)synchronizing (1)chen (1)dsm 5 (1)comorbidity (1)autistic traits (1)spec (1)neural coding (1)branch predictor (1)learning to learn (1)important research (1)principle of compositionality (1)locality (1)word error rate (1)underpinning (1)parity (1)conditional learning (1)learning rule (1)discontinuity (1)scratch (1)schedule (1)lewis signaling game (1)human language (1)converse (1)graph kernel (1)molecular graph (1)chemical property (1)sample quality (1)root cause (1)maximum likelihood (1)region selection (1)proof of concept (1)class imbalance (1)visual perception (1)driving simulator (1)greedy algorithm (1)saddle point (1)empirical evidence (1)creative visualization (1)concatenation (1)pace (1)effective algorithm (1)arrow of time (1)causality (1)causal graph (1)univariate (1)residual blocks (1)basis expansion (1)policy design (1)information system (1)ecological footprint (1)bad weather (1)structuring (1)biological network (1)orthogonality principle (1)minimum mean square error (1)least mean squares filter (1)gaussian noise (1)gaussian (1)conditional independence (1)data analysis (1)self control (1)response inhibition (1)neural correlates of consciousness (1)executive functions (1)basal ganglia (1)anterior cingulate cortex (1)anger (1)conceptual framework (1)automated technique (1)argumentation theory (1)schizophrenia (1)mutation (1)copy number variation (1)statistical learning (1)network connectivity (1)spurious relationship (1)iterative and incremental development (1)brute force search (1)warrant (1)surprise (1)oral tradition (1)narrative (1)experimental evolution (1)evolutionary computation (1)epistemology (1)creativity (1)artificial life (1)realism (1)climate change (1)haystack (1)motor learning (1)cerebellum (1)anatomical configuration (1)sensory processing (1)motor cortex (1)laminar flow (1)cerebral hemisphere (1)anatomy (1)reed solomon error correction (1)low latency (1)forward error correction (1)communications system (1)subtraction (1)mechanism based (1)disease activity (1)software system (1)semantic similarity (1)locality of reference (1)code smell (1)swarm behaviour (1)3d mapping (1)search tree (1)influence diagram (1)independent set (1)network topology (1)localization system (1)fuse (1)autonomous navigation system (1)neocortex (1)inhibitory postsynaptic potential (1)barrel cortex (1)sparse structure (1)multivariate statistics (1)multivariate analysis (1)brain development (1)stroke recovery (1)stroke (1)post stroke (1)motor impairment (1)motor function (1)explained variation (1)surfel (1)spatial intelligence (1)polygon mesh (1)morality (1)sense (1)cytoplasm (1)centrosome (1)clinical psychology (1)african american (1)young female (1)structural engineering (1)consumer innovativeness (1)network size (1)asynchrony (1)multi objective optimization (1)social dynamics (1)sexual differentiation (1)limbic system (1)brain size (1)waste management (1)ventilation (1)hvac (1)direct feedback (1)air conditioning (1)topic shift (1)rumor (1)service level (1)queueing theory (1)global optimum (1)efficient algorithm (1)continuous variable (1)theory of mind (1)research community (1)perfect information (1)frontier (1)multiple kernel learning (1)electrical load (1)electric power system (1)majority rule (1)bayes theorem (1)relay (1)insular cortex (1)insula (1)delta wave (1)beta (1)adaptive behavior (1)synapse organization (1)retinoid metabolic process (1)neurotransmitter transport (1)ion transmembrane transport (1)genetic architecture (1)exome (1)calcium ion transmembrane transport (1)positive correlation (1)metabolic syndrome (1)gut microbiome (1)fatty acid (1)dash diet (1)cd8 (1)body weight (1)blood pressure (1)chromatin remodeling (1)sparse matrix vector multiplication (1)sparse matrix (1)sparse approximation (1)row (1)multiplication (1)stencil code (1)performance prediction (1)policy capturing (1)expert system (1)dilemma (1)decision support system (1)cognitive model (1)shared memory (1)contextual information (1)bilinear map (1)belief propagation (1)observable (1)interactive fiction (1)video tracking (1)spatial invariance (1)semantic awareness (1)learning based (1)anomaly detection (1)smooth approximation (1)logistic function (1)wireless communication systems (1)channel code (1)channel capacity (1)sparse matrix vector (1)mobile communication systems (1)list size (1)latency (1)human connectome project (1)feedforward neural network (1)connectome (1)specific surface area (1)reaction rate (1)organic chemistry (1)microcystin lr (1)microcystin (1)limonite (1)lewis acids and bases (1)hydrolysis (1)catalysis (1)upload (1)two step (1)inertial navigation system (1)surgery (1)interquartile range (1)intensive care (1)continuous positive airway pressure (1)bradycardia (1)apnea (1)white light (1)titration (1)single measurement (1)photochemistry (1)optoelectronics (1)berberine (1)analyte (1)k space (1)dicom (1)phenylpyruvic acid (1)nuclear chemistry (1)ligand (1)intramolecular force (1)aqueous solution (1)adsorption (1)white matter (1)huntington s disease (1)cohort (1)cognitive decline (1)self supervised learning (1)speech distortion (1)wearable computer (1)hand motion (1)driving safety (1)long term potentiation (1)ltp induction (1)enzyme (1)clinical diagnosis (1)alkaline phosphatase (1)abnormal expression (1)restriction fragment (1)density estimation (1)chia pet (1)multicellular organism (1)general method (1)design of experiments (1)cell cancer (1)stencil (1)lift (1)general purpose computing on graphics processing units (1)upstream open reading frame (1)translational regulation (1)protein subunit (1)protein complex assembly (1)prefoldin (1)chaperone (1)coping (1)trustworthiness (1)specific information (1)privacy protection (1)multiple sclerosis lesion (1)effective dimension (1)automotive industry (1)click fraud (1)use case (1)touchscreen (1)public transport (1)obstacle (1)mobile computing (1)gesture recognition (1)operating cost (1)electronic mail (1)distributed database (1)phylogenetic tree (1)phylogenetic network (1)rail freight transport (1)network planning and design (1)economies of scale (1)destinations (1)commercial software (1)fleet management (1)competitor analysis (1)document classification (1)authorship attribution (1)state action (1)inductive bias (1)streams (1)neuropsychiatry (1)information theory (1)lifelong learning (1)multi image (1)neurogenesis (1)dentate gyrus (1)calculus (1)thermodynamic integration (1)marginal likelihood (1)expected loss (1)activation function (1)special class (1)close relationship (1)multiple view (1)multiclass classification (1)kronecker product (1)empirical bayes method (1)coordinate descent (1)language construct (1)formal language (1)time efficiency (1)block size (1)bernoulli s principle (1)term logic (1)rule of inference (1)markov logic network (1)multinomial distribution (1)learning agent (1)feature selection (1)branching (1)bipartite graph (1)stimulus modality (1)control algorithm (1)online optimization (1)linear network (1)gradient noise (1)batch method (1)memory architecture (1)cumulative distribution function (1)teamwork (1)social dilemma (1)diplomacy (1)betrayal (1)qualitative evidence (1)transition function (1)steady state (1)backpropagation through time (1)state space representation (1)sequential data (1)imagination (1)vanishing gradient problem (1)schur decomposition (1)orthogonality (1)orthogonal matrix (1)state representation (1)waveform (1)raw audio format (1)mean opinion score (1)sample selection (1)constraint reduction (1)kullback leibler divergence (1)data domain (1)convex combination (1)archetypal analysis (1)sensorimotor rhythm (1)proprioception (1)isometric exercise (1)efferent (1)quantum (1)markov model (1)vocal music (1)tonality (1)musical form (1)musical (1)melody (1)formality (1)dance (1)supercomputer (1)rewriting (1)transcriptome (1)rna binding protein (1)model organism (1)danio (1)caenorhabditis elegans (1)binding site (1)numerical analysis (1)nonlinear programming (1)standard error (1)adversary (1)transmittance (1)light attenuation (1)signed distance function (1)referring expression generation (1)multi stage (1)inductive reasoning (1)user identifier (1)self attention (1)online advertising (1)sweep frequency response analysis (1)satellite navigation (1)frequency modulation (1)distortion (1)robot manipulator (1)manipulator (1)inverse dynamics (1)data efficiency (1)online learning (1)multi agent system (1)lidar data (1)lidar (1)external data representation (1)model selection (1)experimental research (1)computational model (1)artificial language learning (1)artificial grammar learning (1)visually impaired (1)false positive paradox (1)false discovery rate (1)sample variance (1)amortization (1)visual short term memory (1)supramarginal gyrus (1)short term memory (1)precentral gyrus (1)postcentral gyrus (1)pathology (1)neurocognitive (1)middle temporal gyrus (1)audiology (1)stackelberg competition (1)nash games (1)mathematical economics (1)brain tumor segmentation (1)structural magnetic resonance imaging (1)early prediction (1)dementia (1)limiting (1)chest disease (1)nonlinear dimensionality reduction (1)unsupervised clustering (1)reflection mapping (1)qualitative evaluations (1)compositing (1)uv spectrum (1)linear discriminant analysis (1)hierarchical clustering (1)drug analysis (1)analytical chemistry (1)chordal graph (1)restricted boltzmann machine (1)hidden variable theory (1)gumbel distribution (1)boltzmann machine (1)boltzmann distribution (1)sound classification (1)video sequence (1)video prediction (1)training transfer (1)disease detection (1)frequency domain (1)temperature scaling (1)calibration (1)panopticon (1)communication (1)spectral line (1)multi frame (1)fusion (1)pseudogene (1)human genome (1)gencode (1)multiview learning (1)kotlin (1)digital subscriber line (1)perinatal asphyxia (1)speech model (1)working memory (1)information access (1)wavelet (1)distance measures (1)software requirements specification (1)requirements engineering (1)position paper (1)pedestrian detection (1)pedestrian (1)life critical system (1)current practice (1)wavelet transform (1)grayscale (1)turnkey (1)outlier (1)predictive analytics (1)ontology (1)medical knowledge (1)transformative learning (1)internet access (1)data security (1)citizen science (1)spectrum analysis (1)information leakage (1)engine control unit (1)probabilistic simulation (1)probabilistic bisimulation (1)modal (1)programmer (1)interpreter (1)dialog box (1)verlet integration (1)subspace topology (1)memory footprint (1)dynamical simulation (1)collision detection (1)business process reengineering (1)word graph (1)pointer (1)document summarization (1)quantum information science (1)quantum information (1)communication complexity (1)coding theory (1)subcellular localization (1)mammalian genome (1)evolutionary biology (1)chromosome (1)breakpoint (1)hardware in the loop simulation (1)user generated content (1)sociology (1)social issues (1)public relations (1)public policy (1)internet of things (1)blockchain (1)smoothing (1)renewable energy (1)minimum variance unbiased estimator (1)middleware (1)intermittency (1)execution time (1)business (1)brand names (1)advertising (1)information representation (1)auto encoders (1)roulette (1)distance sampling (1)rationalization (1)polytope (1)tarmac (1)reification (1)travelling salesman problem (1)time limit (1)statistical pattern (1)branch and bound (1)random geometric graph (1)lattice graph (1)consensus (1)binary logarithm (1)approximation algorithm (1)traverse (1)subsurface scattering (1)sparse image (1)frequency analysis (1)market share (1)management system (1)electric vehicle (1)charge control (1)automotive engineering (1)linear algebra (1)interior point method (1)undecidable problem (1)theory of computation (1)binary quadratic programming (1)policy analysis (1)operations management (1)nested logit (1)data aggregator (1)cross validation (1)aggregation methods (1)risk threshold (1)risk assessment (1)medical emergency (1)care workers (1)adverse effect (1)introspection (1)human robot interaction (1)audio feedback (1)scalable algorithms (1)user interface (1)spectral theory (1)singular value decomposition (1)singular value (1)singular solution (1)hankel matrix (1)canonical form (1)system on a chip (1)stratix (1)quantized neural networks (1)field programmable gate array (1)bit slicing (1)thread (1)sentence length (1)sorensen dice coefficient (1)preprocessor (1)fluid attenuated inversion recovery (1)sparse voxel octree (1)light field (1)reverse engineering (1)optimizing compiler (1)hybrid system (1)graphics processing unit (1)graph theory (1)central processing unit (1)private information retrieval (1)linear system (1)kaczmarz method (1)gossip protocol (1)gossip algorithms (1)average consensus (1)transferability (1)more language (1)rule based machine translation (1)pronunciation (1)python language (1)documentation (1)adversarial machine learning (1)procedural knowledge (1)knowledge representation and reasoning (1)autonomous agent (1)phenomenon (1)matrix games (1)fault detection and isolation (1)viewpoints (1)topological graph theory (1)ball (1)rotation (1)complex space (1)variational inequality (1)sequential monte carlo methods (1)stride length (1)neural network learning (1)virtual reality (1)user feedback (1)multimedia (1)heuristics (1)heuristic evaluation (1)underwater acoustic communication (1)communications protocol (1)viewing angle (1)simultaneous localization and mapping (1)semantic mapping (1)scale invariant feature transform (1)minimum bounding box (1)safer (1)high fidelity (1)high potential (1)cognitive impairment (1)alzheimer s disease (1)offset (1)measurement uncertainty (1)bayesian neural networks (1)difficult problem (1)acoustic model (1)fine tuning (1)meta optimization (1)speech corpus (1)pitch contour (1)multiple time dimensions (1)mandarin chinese (1)contrast (1)acoustics (1)pattern completion (1)correlation (1)global optimization (1)probability density function (1)probabilistic programming language (1)classification of discontinuities (1)control objective (1)as is (1)stability (1)feature dimension (1)automaton (1)game dynamics (1)randomization (1)active domain (1)distributed algorithm (1)channel allocation schemes (1)bandwidth allocation (1)viridiplantae (1)transfer rna (1)stop codon (1)sphaeropleales (1)phylogenetics (1)genetic code (1)rounding (1)dataflow (1)state of health (1)smart battery (1)hardware architecture (1)battery pack (1)battery (1)online setting (1)data stream (1)unitary evolution (1)in patient (1)colorectal cancer (1)automated segmentation (1)single point of failure (1)power consumption (1)meter (1)electricity meter (1)psychological intervention (1)outcome prediction (1)icu admission (1)proteomics (1)epigenetics (1)dna microarray (1)tort (1)medical malpractice (1)medical diagnosis (1)malpractice (1)liability (1)health policy (1)health law (1)delegate (1)geodesic (1)computer simulation (1)reconstruction error (1)knee mri (1)wireless ad hoc network (1)sybil attack (1)radio propagation model (1)power control (1)dissemination (1)multiple stages (1)observational study (1)bronchopulmonary dysplasia (1)social influence (1)influencer marketing (1)tensor factorization (1)mortality prediction (1)individual data (1)simplex (1)contraction mapping (1)bootstrapping (1)linear approximation (1)expected value (1)graph isomorphism (1)message passing (1)semantic matching (1)non local (1)risks and benefits (1)optimism (1)high probability (1)neural network architecture (1)grid cell (1)curriculum (1)workflow (1)point of care (1)medical record (1)medical physics (1)knowledge based systems (1)gold standard (1)continuing medical education (1)principal component analysis (1)supervised training (1)testbed (1)lyapunov stability (1)impact evaluation (1)emulation (1)urban climate (1)energy performance (1)association rule learning (1)normal mapping (1)aliasing (1)active appearance model (1)information revolution (1)hacker (1)computational complexity theory (1)accelerometer (1)writing style (1)turkish (1)deception (1)anonymity (1)particle filter (1)particle (1)graph based (1)uncertainty principle (1)harmonic analysis (1)fourier transform (1)wake (1)stochastic control (1)view dependent (1)word2vec (1)paragraph (1)latent dirichlet allocation (1)bag of words model (1)natural language inference (1)rationality (1)rhythm (1)harmony (1)harmonic (1)virtualization (1)network performance (1)mobile telephony (1)hypervisor (1)hardware virtualization (1)full virtualization (1)embedded system (1)context switch (1)wireless (1)wifi network (1)radio frequency (1)channel state information (1)redundancy (1)image sharing (1)efficient energy use (1)zip code (1)rna localization (1)protein secondary structure (1)protein biosynthesis (1)primary sequence (1)motif (1)energy resources (1)distributed generation (1)choice problem (1)neurostimulation (1)adaptive optimization (1)social balance (1)single type (1)network embedding (1)higher order structure (1)stochastic neural network (1)systems research (1)offensive (1)ethical issues (1)indel (1)homology directed repair (1)genome editing (1)double stranded (1)cell biology (1)cas9 (1)biotinylation (1)test data (1)open research (1)medline (1)best practice (1)benchmarking (1)toolchain (1)operator overloading (1)functional programming (1)dataflow programming (1)automatic differentiation (1)predictive inference (1)computer cluster (1)silhouette (1)rgb color model (1)orthographic depth (1)high resolution (1)beam search (1)beam (1)multiple source (1)time complexity (1)logical operations (1)exponential complexity (1)enumeration (1)pooling (1)facial geometry (1)3d model (1)problem domain (1)sample complexity (1)calibration function (1)natural gradient (1)diagonal (1)covariance matrix (1)covariance (1)multinomial sampling (1)mental state (1)common method (1)point estimation (1)learning models (1)pyramidal neuron (1)cortical circuits (1)network component (1)multiple modes (1)image transfer (1)telecommunications link (1)protocol stack (1)network simulation (1)heterogeneous network (1)weather and climate (1)informatics (1)fuzzy logic (1)quality assessment (1)native structure (1)atomic coordinates (1)assessment methods (1)a protein (1)carcinogenesis (1)cancer research (1)problem of universals (1)natural history (1)history (1)ethnography (1)cross cultural (1)anthropology (1)visual feedback (1)underwater robotics (1)robot trajectory (1)scalar field (1)region of interest (1)security through obscurity (1)malware (1)reinforcement learning algorithm (1)knowledge sources (1)hop (1)reality gap (1)motor skill (1)backlash (1)pedagogy (1)size ratio (1)generalization error (1)nash equilibrium (1)statistical physics (1)principle of maximum entropy (1)energy based (1)curse of dimensionality (1)stochastic modelling (1)social affiliation (1)soar (1)friendship graph (1)modulation (1)vehicle dynamics (1)system safety (1)model predictive control (1)pragmatics (1)joint constraints (1)standard sequence (1)oracle (1)conditional random field (1)crfs (1)binary classification (1)speaker recognition (1)sinc function (1)formant (1)filter bank (1)presupposition (1)adverbial (1)order of magnitude (1)mathematical analysis (1)flatness (1)backup (1)unpaired data (1)many to many (1)sequence processing (1)source separation (1)noise reduction (1)intensive care medicine (1)detection rate (1)decision tree (1)data imbalance (1)cardiorespiratory fitness (1)pairwise comparison (1)metaheuristic (1)load balancing (1)bin packing problem (1)mixed integer quadratic programming (1)sensor fusion (1)local positioning system (1)lighter than air (1)blimp (1)small data (1)landmark (1)synthetic data (1)language understanding (1)multiplicative function (1)upsampling (1)convolutional code (1)variational bayesian methods (1)mean squared error (1)autonomous system (1)waypoint (1)rapid rate (1)patient diagnosis (1)kidney segmentation (1)enhanced ct (1)wiener filter (1)signal to interference ratio (1)statistical inference (1)integrator (1)scalar value (1)context vector (1)bleu (1)tumour segmentation (1)liver segmentation (1)liver lesion (1)lesion detection (1)private network (1)computational intelligence (1)knowledge base (1)writing system (1)handwriting recognition (1)chinese characters (1)finite state machine (1)augmented lagrangian method (1)polynomial algorithm (1)knapsack problem (1)interdiction (1)hidden markov model (1)dialog system (1)audio signal (1)formalism (1)debugging (1)a priori and a posteriori (1)hyperparameter (1)geometric data analysis (1)space exploration (1)statistical decision theory (1)generative modeling (1)clustering high dimensional data (1)biological plausibility (1)low resolution (1)model free (1)reverse order (1)relational reasoning (1)pie chart (1)horizontal and vertical (1)bar chart (1)single model (1)multi task learning (1)general purpose (1)complex network (1)transduction (1)decoupling (1)factorization (1)nonuniform sampling (1)linear modulation (1)segmentation based object categorization (1)prostate segmentation (1)prospective cohort study (1)longitudinal cohort (1)airway extubation (1)phrase (1)sliding window protocol (1)robot end effector (1)motion planning (1)mobile robot (1)noun (1)osteoporosis (1)gerontology (1)wheelchair (1)user intent (1)usable (1)mechatronics (1)thompson sampling (1)reproducing kernel hilbert space (1)measurable function (1)parallel optimization (1)incremental methods (1)recursive model (1)on the fly (1)current technology (1)chatbot (1)phrase extraction (1)dot product (1)computer program (1)

2020-09

Disentangling presentation and processing times in the brain
Laurent Caplette
Robin A.A. Ince
 and 
Frédéric Gosselin
stimulus
speech recognition
repetition priming
psychology
millisecond
information processing
gating
fixation
electroencephalography
cognitive psychology
cognitive neuroscience of visual object recognition
NeuroImage
(2020-09-01)
www.sciencedirect.com

2020-08

A review of the-state-of-the-art in data-driven approaches for building energy prediction
Ying Sun
Fariborz Haghighat
 and 
predictive controller
physical model
industrial engineering
feature engineering
engineering
energy distribution
data driven
data source
building energy
architectural engineering
Energy and Buildings
(2020-08-15)
www.sciencedirect.com
Heterogeneous data release for cluster analysis with differential privacy
Rong Wang
 and 
Yan Zhu
relational database
raw data
information privacy
encode
differential privacy
data release
data publishing
data mining
computer science
cluster analysis
Knowledge Based Systems
(2020-08-09)
www.sciencedirect.com
A multicut outer-approximation approach for competitive facility location under random utilities
Tien Mai
 and 
separable space
robustness
perfect competition
nonlinear system
mathematics
mathematical optimization
facility location problem
data set
cutting plane method
convexity
European Journal of Operational Research
(2020-08-01)
www.sciencedirect.com

2020-07

Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani
Bhaskar Mitra
Everest Chen
Gord Lueck
Paul Bennett
Nick Craswell
 and 
Susan Dumais
information retrieval
computer science
SIGIR 2020
(2020-07-25)
sigir.orgPDF
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega
Peter Potash
Hal Daumé
 and 
MichĂšle Finck
personalization
operationalization
minification
information retrieval
computer science
SIGIR 2020
(2020-07-25)
sigir.org
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
Mahmoud Assran
 and 
machine learning
gradient method
convergence
computer science
artificial intelligence
algorithm
ICML 2020
(2020-07-12)
icml.cc
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference
Robert Brekelmans
Vaden W Masrani
Greg Ver Steeg
 and 
Aram Galstyan
theoretical computer science
machine learning
information geometry
inference
exponential family
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong
Jessie Huang
David van Dijk
 and 
Smita Krishnaswamy
transport network
machine learning
distributed computing
computer science
cellular dynamics
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh
 and 
reinforcement learning
machine learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
An end-to-end approach for the verification problem: learning the right distance
Joao Monteiro
Isabela Albuquerque
Jahangir Alam
 and 
Tiago Falk
verification problem
machine learning
end to end principle
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Universal Equivariant Multilayer Perceptrons
perceptron
pattern recognition
equivariant map
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Incidence Networks for Geometric Deep Learning
Marjan Albooyeh
Daniele Bertolini
 and 
machine learning
deep learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.ccPDF
Latent Variable Modelling with Hyperbolic Normalizing Flows
Joey Bose
Ariella Smofsky
Renjie Liao
 and 
pattern recognition
machine learning
latent variable
computer science
artificial intelligence
ICML 2020
(2020-07-12)
ui.adsabs.harvard.edu
Inductive Relation Prediction by Subgraph Reasoning
Komal Teru
Etienne Denis
 and 
machine learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
On Variational Learning of Controllable Representations for Text without Supervision
Peng Xu
 and 
Yanshuai Cao
variational learning
machine learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.ccPDF
Constrained Markov Decision Processes via Backward Value Functions
Harsh Satija
Philip Amortila
 and 
markov decision process
machine learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.ccPDF
Invariant Causal Prediction for Block MDPs
Clare Lyle
Amy Zhang
Angelos Filos
Shagun Sodhani
Marta Kwiatkowska
Yarin Gal
 and 
theoretical computer science
pattern recognition
invariant
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia
Eugene Belilovsky
Massimo Caccia
 and 
speech recognition
quantization
machine learning
computer science
compression
artificial intelligence
ICML 2020
(2020-07-12)
icml.ccPDF
Interference and Generalization in Temporal Difference Learning
Emmanuel Bengio
 and 
Doina Precup
temporal difference learning
pattern recognition
interference
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Meng Qu
Tianyu Gao
Louis-Pascal Xhonneux
 and 
relationship extraction
machine learning
graph
computer science
bayesian probability
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Continuous Graph Neural Networks
Louis-Pascal Xhonneux
Meng Qu
 and 
machine learning
graph neural networks
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.ccPDF
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi
Minkai Xu
Hongyu Guo
Ming Zhang
 and 
theoretical computer science
machine learning
graph
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Yao Liu
 and 
Emma Brunskill
machine learning
importance sampling
horizon
curse
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim
WaĂŻss Azizian
Gauthier Gidel
 and 
machine learning
differentiable function
conditioning
computer science
artificial intelligence
algebra
ICML 2020
(2020-07-12)
icml.cc
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou
Hugo Berard
Alexia Jolicoeur-Martineau
 and 
pattern recognition
hamiltonian
computer science
artificial intelligence
algebra
ICML 2020
(2020-07-12)
icml.cc
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu
Soumye Singhal
Florian Strub
 and 
Olivier Pietquin
machine learning
iterated learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim
 and 
Chin-Wei Huang
pattern recognition
gradient estimation
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Revisiting Fundamentals of Experience Replay
William Fedus
Prajit Ramachandran
Rishabh Agarwal
Mark Rowland
 and 
Will Dabney
machine learning
human computer interaction
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Sarthak Mittal
Alex Lamb
Anirudh Goyal
Vikram Voleti
Murray Shanahan
Michael Mozer
 and 
top down and bottom up design
recurrent neural network
machine learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati
Boris Sattarov
Sufeng Niu
Haoran Wei
Yashaswi Pathak
Shengchao Liu
Simon Blackburn
Karam Thomas
Connor Coley
Sarath Chandar
 and 
reinforcement learning
machine learning
human computer interaction
computer science
chemical space
artificial intelligence
ICML 2020
(2020-07-12)
icml.cc
Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha
Han Zhang
Anirudh Goyal
 and 
Augustus Odena
pattern recognition
machine learning
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.ccPDF
Perceptual Generative Autoencoders
Zijun Zhang
Ruixiang Zhang
Zongpeng Li
 and 
speech recognition
perception
machine learning
generative grammar
computer science
artificial intelligence
ICML 2020
(2020-07-12)
icml.ccPDF
Feature Statistics Guided Efficient Filter Pruning
Hang Li
Chen Ma
Wei Xu
 and 
pruning
machine learning
computer science
artificial intelligence
IJCAI 2020
(2020-07-11)
static.ijcai.org
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Maxime Wabartha
Vincent François-Lavet
 and 
machine learning
deep learning
computer science
black swan theory
artificial neural network
artificial intelligence
IJCAI 2020
(2020-07-11)
static.ijcai.org
SVRG for Policy Evaluation with Fewer Gradient Evaluations
Zilun Peng
Ahmed Touati
 and 
machine learning
computer science
artificial intelligence
IJCAI 2020
(2020-07-11)
static.ijcai.org
Comparing Audience Appreciation to Fact-Checking Across Political Communities on Reddit.
Deven Parekh
Drew Margolin
 and 
politics
media studies
fact checking
computer science
astronomy
WEBSCI 2020
(2020-07-06)
dblp.uni-trier.de
Probing Linguistic Systematicity
Emily Goodwin
Koustuv Sinha
 and 
linguistics
computer science
ACL 2020
(2020-07-05)
acl2020.org
Words aren’t enough, their order matters: On the Robustness of Grounding Visual Referring Expressions
Arjun Akula
Spandana Gella
Yaser Al-Onaizan
Song-Chun Zhu
 and 
robustness
natural language processing
ground
expression
computer science
artificial intelligence
ACL 2020
(2020-07-05)
acl2020.org
Learning an Unreferenced Metric for Online Dialogue Evaluation
Koustuv Sinha
Prasanna Parthasarathi
Jasmine Wang
Ryan Lowe
 and 
natural language processing
computer science
artificial intelligence
ACL 2020
(2020-07-05)
acl2020.org
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan
Jie Fu
Marc-Alexandre CÎté
Yi Tay
 and 
Adam Trischler
natural language processing
information seeking
human computer interaction
computer science
comprehension
artificial intelligence
ACL 2020
(2020-07-05)
acl2020.orgPDF
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
Yi Tay
Donovan Ong
Jie Fu
Alvin Chan
Nancy Chen
Anh Tuan Luu
 and 
social preferences
natural language processing
learning machine
cultural values
computer science
artificial intelligence
ACL 2020
(2020-07-05)
acl2020.org
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
Wenyu Du
Zhouhan Lin
Yikang Shen
 and 
Yue Zhang
syntax
syntactic structure
natural language processing
language model
computer science
artificial intelligence
ACL 2020
(2020-07-05)
acl2020.org
Practical Product Path Guiding Using Linearly Transformed Cosines
Stavros Diolatzis
Adrien Gruson
Wenzel Jakob
 and 
George Drettakis
vectorization
sampling
ray tracing
precomputation
path tracing
importance sampling
global illumination
computer vision
computer science
bidirectional scattering distribution function
artificial intelligence
algorithm
Computer Graphics Forum
(2020-07-01)
hal.inria.fr
Accelerating Deep Learning Systems via Critical Set Identification and Model Compression
Rui Han
Chi Harold Liu
Shilin Li
Shilin Wen
 and 
synchronization
spark
scalability
parallel computing
gradient descent
distributed computing
deep learning
data modeling
computer science
bottleneck
big data
artificial intelligence
IEEE Transactions on Computers
(2020-07-01)
dblp.uni-trier.de

2020-06

Inherent privacy limitations of decentralized contact tracing apps.
Daphne Ippolito
Richard Janda
Max Jarvie
Benjamin Prud'homme
Jean-François Rousseau
Abhinav Sharma
 and 
Yun William Yu
severe acute respiratory syndrome coronavirus 2
personally identifiable information
pandemic
mobile apps
medicine
knowledge management
internet privacy
coronavirus disease 2019
contact tracing
2019 20 coronavirus outbreak
Journal of the American Medical Informatics Association
(2020-06-25)
pubmed.ncbi.nlm.nih.gov
gRemote: API-Forwarding Powered Cloud Rendering.
Dongjie Tang
Yun Wang
Linsheng Li
Jiacheng Ma
Zhengwei Qi
 and 
Haibing Guan
distributed computing
computer science
cloud rendering
HPDC 2020
(2020-06-23)
dx.doi.org
Learning Lexical Subspaces in a Distributional Vector Space
Kushal Arora
Aishik Chakraborty
 and 
vector space
natural language processing
linear subspace
distributional semantics
computer science
artificial intelligence
Transactions of the Association for Computational Linguistics
(2020-06-17)
doi.org
Improved Few-Shot Visual Classification
Peyman Bateni
Raghav Goyal
Vaden Masrani
 and 
Leonid Sigal
performance improvement
pattern recognition
metric
mahalanobis distance
labeled data
high dimensional
contextual image classification
computer science
classifier
artificial intelligence
adaptation strategies
CVPR 2020
(2020-06-14)
dblp.uni-trier.dePDF
Delayed Rejection Metropolis Light Transport
Damien Rioux-Lavoie
Joey Litalien
Adrien Gruson
Toshiya Hachisuka
 and 
metropolis light transport
mathematics
mathematical optimization
ACM Transactions on Graphics
(2020-06-09)
dblp.uni-trier.de
Population variability in social brain morphology for social support, household size, and friendship satisfaction.
Arezoo Taebi
Hannah Kiesow
Kai Vogeley
Leonhard Schilbach
Boris C Bernhardt
 and 
social support
social brain
psychology
population
friendship
evolution of human intelligence
developmental psychology
brain morphometry
biobank
bayesian hierarchical modeling
Social Cognitive and Affective Neuroscience
(2020-06-08)
hal.archives-ouvertes.fr
On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming
Benjamin MĂŒller
Gonzalo Muñoz
Maxime Gasse
Ambros M. Gleixner
 and 
Felipe Serrano
regular polygon
nonlinear mixed integer programming
mathematical optimization
integer
exploit
duality
computer science
IPCO 2020
(2020-06-08)
opus4.kobv.dePDF
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
Florian Knoll
Tullie Murrell
Anuroop Sriram
Nafissa Yakubova
Jure Zbontar
Aaron Defazio
Matthew J. Muckley
Daniel K. Sodickson
C. Lawrence Zitnick
 and 
Michael P. Recht
parallel imaging
mr images
machine learning
iterative reconstruction
compressed sensing
chemistry
artificial intelligence
Magnetic Resonance in Medicine
(2020-06-07)
onlinelibrary.wiley.comPDF
NeuroPycon: An open-source Python toolbox for fast multi-modal and reproducible brain connectivity pipelines.
David Meunier
Annalisa Pascarella
Dmitrii Altukhov
Mainak Jas
Etienne Combrisson
Tarek Lajnef
Daphné Bertrand-Dubois
Vanessa Hadid
Golnoush Alamian
Jordan Alves
Fanny Barlaam
Anne-Lise Saive
Arthur Dehgan
 and 
toolbox
standard algorithms
software
signal processing
python
psychology
modular design
matlab
implementation
computer architecture
cognitive psychology
NeuroImage
(2020-06-06)
www.sciencedirect.com
Dark control: The default mode network as a reinforcement learning agent.
Elvis Dohmatob
Guillaume Dumas
 and 
trial and error
systems neuroscience
reinforcement learning
psychology
neuroscience
mind wandering
markov decision process
human intelligence
default mode network
continuous evaluation
cognitive psychology
Human Brain Mapping
(2020-06-05)
www.ncbi.nlm.nih.gov
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks.
Kaixuan Zhang
Qinglong Wang
 and 
C. Lee Giles
theoretical computer science
mathematics
machine learning
independent and identically distributed random variables
artificial neural network
artificial intelligence
Neural Computation
(2020-06-05)
www.mitpressjournals.org
The Neurobiology of Social Distance.
 and 
Robin I.M. Dunbar
social isolation
social environment
social distance
psychology
psychological resilience
loneliness
life satisfaction
friendship
distress
developmental psychology
Trends in Cognitive Sciences
(2020-06-03)
www.sciencedirect.com
LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads.
Christopher J. F. Cameron
Xue Q. D. Wang
Josée Dostie
 and 
visualization
sequencing data
primer
medicine
genome browser
genetics
dna sequencing
computational biology
chromosome conformation capture
chromatin immunoprecipitation
BMC Research Notes
(2020-06-03)
bmcresnotes.biomedcentral.com
Tabu search for the time-dependent vehicle routing problem with time windows on a road network
Maha Gmira
Michel Gendreau
 and 
Jean-Yves Potvin
vehicle routing problem
urban environment
travel time
time windows
tabu search heuristic
tabu search
mathematics
mathematical optimization
graph
European Journal of Operational Research
(2020-06-02)
www.sciencedirect.com
The need for privacy with public digital contact tracing during the COVID-19 pandemic
Richard Janda
Yun William Yu
Daphne Ippolito
Max Jarvie
Dan Pilat
Brooke Struck
Sekoul Krastev
 and 
Abhinav Sharma
severe acute respiratory syndrome coronavirus 2
pandemic
internet privacy
geography
coronavirus disease 2019
contact tracing
2019 20 coronavirus outbreak
The Lancet Digital Health
(2020-06-02)
www.thelancet.com
Machine and deep learning methods for radiomics.
Michele Avanzo
Lise Wei
Joseph Stancanello
Arvind Rao
Olivier Morin
Sarah A. Mattonen
 and 
Issam El Naqa
standardization
research opportunities
radiomics
physics
optics
model building
image segmentation
feature extraction
deep learning
data science
artificial intelligence
analytics
Medical Physics
(2020-06-01)
aapm.onlinelibrary.wiley.comPDF
Machine Learning for COVID-19 needs global collaboration and data-sharing
Nathan Peiffer-Smadja
Redwan Maatoug
François-Xavier Lescure
Eric D’Ortenzio
 and 
Jean-RĂ©mi King
pandemic
machine learning
data sharing
coronavirus disease 2019
computer science
artificial intelligence
Nature Machine Intelligence
(2020-06-01)
www.nature.com

2020-05

Inferring multimodal latent topics from electronic health records.
Pratheeksha Nair
Xing Han Lu
Zhi Wen
Yuening Wang
Amir Ardalan Kalantari Dehaghi
Yan Miao
Weiqi Liu
Tamas Ordog
Joanna M. Biernacka
Euijung Ryu
Janet E. Olson
Mark A. Frye
Aihua Liu
Liming Guo
Ariane Marelli
Yuri Ahuja
Jose Davila-Velderrain
 and 
Manolis Kellis
topic model
precision medicine
missing data
health informatics
genetics
diagnosis code
data type
data science
data integration
collaborative filtering
biology
Nature Communications
(2020-05-21)
www.nature.com
Evaluating White Matter Lesion Segmentations with Refined SĂžrensen-Dice Analysis.
Aaron Carass
Snehashis Roy
Adrian Gherman
Jacob C. Reinhold
Andrew Jesson
Oskar Maier
Heinz Handels
Mohsen Ghafoorian
Bram Platel
Ariel Birenbaum
Hayit Greenspan
Dzung L. Pham
Ciprian M. Crainiceanu
Peter A. Calabresi
Jerry L. Prince
William R. Gray Roncal
Russell T. Shinohara
 and 
Ipek Oguz
white matter lesion
segmentation
pattern recognition
parsing
lesion segmentation
improved performance
image segmentation algorithm
dice
computer science
artificial intelligence
Scientific Reports
(2020-05-19)
www.nature.com
Universal Dependencies 2.6
Daniel Zeman
Joakim Nivre
Mitchell Abrams
Elia Ackermann
Noëmi Aepli
Ćœeljko Agić
Lars Ahrenberg
Chika Kennedy Ajede
Gabrielė AleksandravičiĆ«tė
Lene Antonsen
Katya Aplonova
Angelina Aquino
Maria Jesus Aranzabe
Gashaw Arutie
Masayuki Asahara
Luma Ateyah
Furkan Atmaca
Mohammed Attia
Aitziber Atutxa
Liesbeth Augustinus
... (349 more)
universal dependencies
treebank
syntax
parsing
natural language processing
interlingua
computer science
artificial intelligence
annotation
(venue unknown)
(2020-05-15)
hdl.handle.net
Predictive Pattern Classification Can Distinguish Gender Identity Subtypes from Behavior and Brain Imaging.
Benjamin Clemens
Birgit Derntl
Elke Smith
Jessica Junger
Josef Neulen
Gianluca Mingoia
Frank Schneider
Ted Abel
 and 
Ute Habel
transgender
psychology
normative
neuroimaging
intrinsic value
gender identity
functional brain
cognitive psychology
canonical correlation
behavioral data
Cerebral Cortex
(2020-05-14)
academic.oup.com
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks.
Mahdieh Abbasi
Arezoo Rajabi
 and 
Rakesh B. Bobba
voting
robustness
machine learning
mnist database
deep neural networks
computer science
artificial intelligence
adversarial system
AI 2020
(2020-05-13)
link.springer.com
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
Stefan Horoi
Victor Geadah
 and 
recurrent neural network
pattern recognition
oscillation
matrix
encoding
dynamical systems theory
dynamical system
dimensionality reduction
computer science
attractor
artificial intelligence
Canadian Conference on AI
(2020-05-13)
link.springer.com
RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy via Deep Learning.
Ximeng Mao
Roy Keyes
 and 
Shirin A. Enger
tomography
sigmoid function
radiology
monte carlo method
medicine
histogram
high dose rate brachytherapy
dosimetry
brachytherapy
absorbed dose
International Journal of Radiation Oncology Biology Physics
(2020-05-12)
www.sciencedirect.com
Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation
Wei Wang
Chuang Wang
Tao Cui
 and 
original data
numeric data
network structure
multidimensional scaling
isomorphism
generative grammar
distributed computing
convergence
computer science
algorithm
adversarial system
IEEE Access
(2020-05-11)
doi.org
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models.
Xinlian Yu
Tien Mai
Jing Ding-Mastera
Song Gao
 and 
traffic conditions
recursion
real time data
probabilistic logic
mathematical optimization
logistic regression
discrete choice
decision rule
computer science
choice set
arxiv:eess.SY
(2020-05-08)
dblp.uni-trier.dePDF
Young Chinese Consumers’ Choice between Product-Related and Sustainable Cues—The Effects of Gender Differences and Consumer Innovativeness
Osmud Rahman
 and 
Zhimin Chen
sustainable clothing
sustainability
sensory cue
marketing
intrinsic value
environmental resource management
economics
country of origin
consumer choice
clothing
altruism
Sustainability
(2020-05-07)
www.mdpi.comPDF
Decoupling of Gd–Cr magnetism and giant magnetocaloric effect in layered honeycomb tellurate GdCrTeO6
J. D. Liu
Z. W. Ouyang
J. J. Cao
Z. X. Wang
Z. C. Xia
 and 
G. H. Rao
tellurate
physics
paramagnetism
magnetism
magnetic refrigeration
ion
honeycomb
heat capacity
condensed matter physics
antiferromagnetism
Journal of Applied Physics
(2020-05-07)
aip.scitation.org
Leveraging cluster backbones for improving MAP inference in statistical relational models
Mohamed-Hamza Ibrahim
 and 
Gilles Pesant
mathematics
map inference
machine learning
artificial intelligence
Annals of Mathematics and Artificial Intelligence
(2020-05-07)
PDF
TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST X-RAYS: INITIAL ACCURACY TESTING
Simon Duchesne
Daniel Gourdeau
Patrick Archambault
Carl Chartrand-Lefebvre
Louis Dieumegarde
Reza Forghani
Alexandre Hains
David Hornstein
Huy Le
Simon Lemieux
Marie-Helene Levesque
Diego Martin
Lorne Rosenbloom
An Tang
Fabrizio Vecchio
 and 
Nathalie Duchesne
triage
sample size determination
retrospective cohort study
receiver operating characteristic
radiology
radiological weapon
pleural effusion
medicine
interventional radiology
deep learning
artificial intelligence
medRxiv
(2020-05-05)
www.medrxiv.orgPDF
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Chakravarty R. Alla Chaitanya
Nikunj Raghuvanshi
Keith Godin
Zechen Zhang
 and 
John Snyder
wave field
sound propagation
reciprocal
computer science
computer graphics images
coding
SIGGRAPH 2020
(2020-05-04)
www.microsoft.com
RISC-V Barrel Processor for Accelerator Control
MohammadHossein AskariHemmat
Sean Wagner
Yvon Savaria
 and 
Jean-Pierre David
risc v
parallel computing
instruction set
electronic circuit
computer science
computer hardware
barrel processor
barrel
FCCM 2020
(2020-05-01)
ieeexplore.ieee.org
Lookahead Converges to Stationary Points of Smooth Non-convex Functions
Jianyu Wang
Vinayak Tantia
Nicolas Ballas
 and 
stationary point
mathematical optimization
convex function
computer science
applied mathematics
ICASSP 2020
(2020-05-01)
xplorestaging.ieee.org
In-Hardware Training Chip Based on CMOS Invertible Logic for Machine Learning
Naoya Onizawa
Sean C. Smithson
Brett H. Meyer
 and 
Takahiro Hanyu
mathematics
invertible matrix
computer hardware
chip
cmos
IEEE Transactions on Circuits and Systems I-regular Papers
(2020-05-01)
dblp.uni-trier.de
Simplified Dynamic SC-Flip Polar Decoding
Furkan Ercan
Thibaud Tonnellier
Nghia Doan
 and 
polar
pattern recognition
decoding methods
computer science
artificial intelligence
algorithm
ICASSP 2020
(2020-05-01)
xplorestaging.ieee.org
Remote Estimation Over a Packet-Drop Channel With Markovian State
Jhelum Chakravorty
 and 
transmitter power output
renewal theory
optimal estimation
mathematics
markov process
markov chain
kalman filter
control theory
channel
autoregressive model
IEEE Transactions on Automatic Control
(2020-05-01)
ieeexplore.ieee.orgPDF
General Principles of Gene Dosage Effects on Brain Structure
Claudia Modenato
Kuldeep Kumar
Clara Moreau
Catherine Schramm
Guillaume Huguet
Sandra Martin-Brevet
Aurélie Pain
Anne Maillard
Sonia Richetin
Borja Rodriguez-Herreros
Lester Melie-Garcia
Ana Dos Santos Silva
Marianne Van Den Bree
David Linden
Carrie E. Bearden
Sarah Lippé
Mallar Chakravarty
Bogdan Draganski
 and 
SĂ©bastien Jacquemont
psychology
internal medicine
gene dosage
endocrinology
bioinformatics
Biological Psychiatry
(2020-05-01)
api.elsevier.com
What Can Machine Learning Do for Psychiatry
Daniel Barron
John H. Krystal
 and 
R. Todd Constable
psychology
psychiatry
Biological Psychiatry
(2020-05-01)
api.elsevier.com
Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models
Loren Lugosch
Brett H. Meyer
 and 
Mirco Ravanelli
spoken language
speech synthesis
speech recognition
pattern recognition
end to end principle
computer science
artificial intelligence
ICASSP 2020
(2020-05-01)
xplorestaging.ieee.org
$${\textsf {SecDM}}$$SecDM: privacy-preserving data outsourcing framework with differential privacy
Gaby G. Dagher
Noman Mohammed
 and 
Jeremy Clark
service provider
scalability
range query
outsourcing
homomorphic encryption
encryption
differential privacy
data mining
computer security
computer science
cloud computing
Knowledge and Information Systems
(2020-05-01)
link.springer.com
Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation
Andrew Holliday
 and 
visual scale
robustness
pattern recognition
convolutional neural network
computer science
artificial intelligence
CRV 2020
(2020-05-01)
ieeexplore.ieee.org
Depth Prediction for Monocular Direct Visual Odometry
Ran Cheng
Christopher Agia
 and 
visual odometry
pose
pattern recognition
monocular
loop closure
initialization
exploit
direct methods
deep learning
computer vision
computer science
artificial intelligence
CRV 2020
(2020-05-01)
ieeexplore.ieee.org
Machine-learning-based column selection for column generation
Guy Desaulniers
 and 
Mouad Morabit
engineering drawing
computer science
column generation
Les Cahiers du GERAD
(2020-05-01)
www.gerad.ca
Data-driven optimization model customization
Mike Hewitt
 and 
personalization
mathematics
mathematical optimization
industrial engineering
data driven
European Journal of Operational Research
(2020-05-01)
api.elsevier.com
Route choice behaviour and travel information in a congested network: Static and dynamic recursive models
Giselle de Moraes Ramos
Tien Mai
Winnie Daamen
 and 
S.P. Hoogendoorn
recursion
nested set model
mathematical optimization
logit
global positioning system
engineering
dynamic network analysis
data set
data collection
bittorrent tracker
Transportation Research Part C-emerging Technologies
(2020-05-01)
www.sciencedirect.com
Systems consolidation impairs behavioral flexibility.
Sankirthana Sathiyakumar
Sofia Skromne Carrasco
Lydia Saad
 and 
psychology
prefrontal cortex
memory consolidation
initial training
hippocampus
cognitive psychology
Learning & Memory
(2020-05-01)
learnmem.cshlp.orgPDF

2020-04

SloMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang
Vinayak Tantia
Nicolas Ballas
 and 
synchronizing
synchronization
stationary point
momentum
machine translation
machine learning
convergence
contextual image classification
computer science
chen
artificial intelligence
algorithm
ICLR 2020
(2020-04-30)
dblp.uni-trier.dePDF
Autism spectrum heterogeneity: fact or artifact?
Laurent Mottron
 and 
psychology
population
intuition
genetics
dsm 5
comorbidity
cognitive psychology
categorical variable
autistic traits
autism
Molecular Psychiatry
(2020-04-30)
www.nature.com
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
Zhan Shi
Kevin Swersky
Parthasarathy Ranganathan
 and 
Milad Hashemi
transfer of learning
theoretical computer science
suite
spec
source code
neural coding
machine learning
data structure
computer science
branch predictor
assembly language
artificial intelligence
ICLR 2020
(2020-04-30)
ui.adsabs.harvard.eduPDF
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Zhu
Vincent Dumoulin
Utku Evci
Kelvin Xu
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
 and 
machine learning
learning to learn
important research
computer science
classifier
baseline
artificial intelligence
ICLR 2020
(2020-04-30)
research.googlePDF
Locality and Compositionality in Zero-Shot Learning
Tristan Sylvain
Linda Petrini
 and 
zero shot learning
vocabulary
principle of compositionality
natural language processing
machine learning
locality
feature learning
deep learning
computer science
artificial intelligence
ICLR 2020
(2020-04-30)
www.microsoft.comPDF
Conditional Learning of Fair Representations
Han Zhao
Amanda Coston
Tameem Adel
 and 
word error rate
underpinning
parity
machine learning
feature learning
conditional learning
computer science
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
Spike-based causal inference for weight alignment
Jordan Guerguiev
Konrad Kording
 and 
regression
pattern recognition
learning rule
inference
gradient descent
estimator
discontinuity
computer science
causal inference
artificial neural network
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
On the interaction between supervision and self-play in emergent communication
Ryan Lowe
Abhinav Gupta
Jakob Foerster
Douwe Kiela
 and 
supervised learning
scratch
schedule
natural language
machine learning
lewis signaling game
language acquisition
human language
converse
computer science
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffman
Vikas Verma
 and 
social network
mutual information
maximization
machine learning
graph kernel
graph
feature learning
encoder
encode
computer science
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
 and 
reinforcement learning
molecular graph
machine learning
graph generation
flow
domain knowledge
data density
computer science
chemical property
autoregressive model
artificial intelligence
algorithm
ICLR 2020
(2020-04-30)
ui.adsabs.harvard.eduPDF
Language GANs Falling Short
Massimo Caccia
Lucas Caccia
William Fedus
 and 
text generation
softmax function
sample quality
root cause
natural language generation
maximum likelihood
machine learning
inference
ground truth
computer science
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
Reinforced active learning for image segmentation
Arantxa Casanova
Pedro O. Pinheiro
Negar Rostamzadeh
 and 
segmentation
reinforcement learning
region selection
proof of concept
pattern recognition
machine learning
labeled data
image segmentation
computer science
class imbalance
artificial intelligence
active learning
ICLR 2020
(2020-04-30)
ui.adsabs.harvard.eduPDF
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Christian Rupprecht
Cyril Ibrahim
 and 
visualization
visual perception
state space
situation awareness
reinforcement learning
machine learning
generative model
driving simulator
decision making
computer science
artificial intelligence
ICLR 2020
(2020-04-30)
dblp.uni-trier.dePDF
Gradient-Based Neural DAG Learning
SĂ©bastien Lachapelle
Philippe Brouillard
Tristan Deleu
 and 
nonlinear system
machine learning
greedy algorithm
directed acyclic graph
data set
continuous optimization
constrained optimization
computer science
causal inference
artificial neural network
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard
Gauthier Gidel
Amjad Almahairi
 and 
visualization
stationary point
saddle point
machine learning
generative grammar
empirical evidence
deep learning
creative visualization
concatenation
computer science
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
On Bonus Based Exploration Methods In The Arcade Learning Environment
Adrien Ali Taiga
William Fedus
Marlos C. Machado
 and 
suite
reinforcement learning
pace
obfuscation
machine learning
learning environment
computer science
artificial intelligence
architecture
ICLR 2020
(2020-04-30)
iclr.ccPDF
Learning the Arrow of Time for Problems in Reinforcement Learning
Nasim Rahaman
Steffen Wolf
Anirudh Goyal
Roman Remme
 and 
stochastic process
salient
reinforcement learning
reachability
markov chain
machine learning
effective algorithm
computer science
artificial neural network
artificial intelligence
arrow of time
ICLR 2020
(2020-04-30)
dblp.uni-trier.dePDF
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Tristan Deleu
Nasim Rahaman
Nan Rosemary Ke
Sebastien Lachapelle
Anirudh Goyal
 and 
transfer of learning
theoretical computer science
robot
parametrization
modularity
machine learning
joint probability distribution
graph
computer science
causality
causal graph
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
 and 
univariate
time series
residual blocks
residual
machine learning
deep learning
computer science
basis expansion
artificial neural network
artificial intelligence
architecture
ICLR 2020
(2020-04-30)
iclr.ccPDF
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal
Shagun Sodhani
Jonathan Binas
Xue Bin Peng
Sergey Levine
 and 
reinforcement learning
policy design
machine learning
decision making
computer science
artificial intelligence
architecture
ICLR 2020
(2020-04-30)
dblp.uni-trier.dePDF
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Anirudh Goyal
Matthew Botvinick
 and 
Sergey Levine
reinforcement learning
optimization problem
mathematical optimization
machine learning
lossless compression
information bottleneck method
inference
implementation
computer science
bottleneck
bandwidth
artificial intelligence
ICLR 2020
(2020-04-30)
iclr.ccPDF
Travel speed prediction based on learning methods for home delivery
Maha Gmira
Michel Gendreau
 and 
Jean-Yves Potvin
urban environment
travel time
transport engineering
ranging
learning methods
information system
global positioning system
ecological footprint
computer science
bad weather
EURO Journal on Transportation and Logistics
(2020-04-27)
www.sciencedirect.com
Interpretable Neuron Structuring with Graph Spectral Regularization
Alexander Tong
David van Dijk
Jay S. Stanley
Matthew Amodio
Kristina Yim
Rebecca Muhle
James Noonan
 and 
Smita Krishnaswamy
visualization
structuring
regularization
pattern recognition
laplacian matrix
data set
computer science
black box
biological network
artificial neural network
artificial intelligence
IDA 2020
(2020-04-27)
doi.org
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Mohammad Afshari
 and 
orthogonality principle
optimal control
minimum mean square error
mathematics
mathematical optimization
linear function
least mean squares filter
gaussian noise
gaussian
conditional independence
arxiv:eess.SY
(2020-04-24)
ui.adsabs.harvard.eduPDF
Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”
Miguel F. Anjos
Fabian Bastin
SĂ©bastien Le Digabel
 and 
mathematics
machine learning
data analysis
continuous optimization
artificial intelligence
Infor
(2020-04-24)
www.tandfonline.com
Meta-analytic evidence for a joint neural mechanism underlying response inhibition and state anger.
Andrei A. Puiu
Olga Wudarczyk
Gregor Kohls
Beate Herpertz‐Dahlmann
 and 
Kerstin Konrad
self control
response inhibition
psychology
neuroscience
neural correlates of consciousness
inferior frontal gyrus
executive functions
basal ganglia
anterior cingulate cortex
anger
Human Brain Mapping
(2020-04-21)
www.scilit.net
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models.
Wenting Wang
Deeksha Arya
Nicole Novielli
Jinghui Cheng
 and 
usability
tracking system
software
human computer interaction
content analysis
conceptual framework
computer science
automated technique
argumentation theory
CHI 2020
(2020-04-21)
ui.adsabs.harvard.eduPDF
Neuropsychiatric copy number variants exert shared effects on human brain structure
Claudia Modenato
Kuldeep Kumar
Clara Moreau
Sandra Martin-Brevet
Guillaume Huguet
Catherine Schramm
Jean-Louis Martineau
Charles-Olivier Martin
Nadine Younis
Petra Tamer
Elise Alix Douard
Fanny Thebault-Dagher
Valerie Cote
Audrey-Rose Charlebois
Florence Deguire
Anne M. Maillard
Borja Rodriguez-Herreros
Aurelie Pain
Sonia Richetin
Leila Kushan
... (11 more)
schizophrenia
neuroimaging
mutation
locus
human brain
genetics
copy number variation
brain morphometry
biology
autism
medRxiv
(2020-04-17)
www.medrxiv.org
Analysing brain networks in population neuroscience: a case for the Bayesian philosophy
Dorothea L. Floris
 and 
Andre F. Marquand
statistical learning
sampling
population
network connectivity
ecology
cognitive science
cognition
biology
bayesian probability
Philosophical Transactions of the Royal Society B
(2020-04-13)
royalsocietypublishing.org
Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
Samuel Laferriere
Marco Bonizzato
Sandrine L. Cote
Numa Dancause
 and 
spurious relationship
search algorithm
physical medicine and rehabilitation
machine learning
iterative and incremental development
gaussian process
engineering
computation
brute force search
biological neural network
bayesian optimization
artificial intelligence
IEEE Transactions on Neural Systems and Rehabilitation Engineering
(2020-04-13)
ieeexplore.ieee.org
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Joel Lehman
Jeff Clune
Dusan Misevic
Christoph Adami
Lee Altenberg
Julie Beaulieu
Peter J. Bentley
Samuel Bernard
Guillaume Beslon
David M. Bryson
Nick Cheney
Patryk Chrabaszcz
Antoine Cully
Stephane Doncieux
Fred C. Dyer
Kai Olav Ellefsen
Robert Feldt
Stephan Fischer
Stephanie Forrest
Antoine Fƕenoy
... (33 more)
warrant
surprise
oral tradition
narrative
experimental evolution
evolutionary computation
epistemology
creativity
computer science
artificial life
artificial intelligence
Artificial Life
(2020-04-09)
hal.inria.fr
Establishing an evaluation metric to quantify climate change image realism
Sharon Zhou
Alexandra Luccioni
Gautier Cosne
Michael S. Bernstein
 and 
realism
geography
environmental resource management
climate change
Machine Learning: Science and Technology
(2020-04-09)
dblp.uni-trier.de
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
Hao-Ting Wang
Jonathan Smallwood
Janaina Mourao-Miranda
Cedric Huchuan Xia
Theodore D. Satterthwaite
Danielle S. Bassett
 and 
systems neuroscience
psychology
modalities
haystack
data science
cognitive psychology
canonical correlation
big data
NeuroImage
(2020-04-08)
www.sciencedirect.com
Can EEG and MEG detect signals from the human cerebellum
Lau M. Andersen
 and 
Sarang S. Dalal
sensory system
psychology
neuroscience
motor learning
magnetoencephalography
electrophysiology
electroencephalography
cognitive psychology
cognition
cerebellum
anatomical configuration
NeuroImage
(2020-04-08)
www.sciencedirect.com
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
Konrad Ć»oƂna
Chitwan Saharia
Leonard Boussioux
David Yu-Tung Hui
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
 and 
machine learning
imitation learning
computer science
artificial intelligence
adversarial system
AAAI 2020
(2020-04-03)
aaai.org
BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.
Konrad Wagstyl
Stéphanie Larocque
Guillem Cucurull
Claude Lepage
Joseph Paul Cohen
Sebastian Bludau
Nicola Palomero-Gallagher
Lindsay B. Lewis
Thomas Funck
Hannah Spitzer
Timo Dickscheid
Paul C. Fletcher
Adriana Romero
Karl Zilles
Katrin Amunts
 and 
Alan C. Evans
sensory system
sensory processing
motor cortex
molecular biology
laminar flow
human brain
cerebral hemisphere
cerebral cortex
biology
bigbrain
anatomy
PLOS Biology
(2020-04-03)
journals.plos.org
High-Throughput Low-Latency Encoder and Decoder for a Class of Generalized Reed–Solomon Codes for Short-Reach Optical Communications
Bo Zheng
Carlo Condo
 and 
Odile Liboiron-Ladouceur
throughput
reed solomon error correction
mathematics
low latency
forward error correction
encoder
electronic engineering
decoding methods
communications system
cmos
arithmetic
IEEE Transactions on Circuits and Systems Ii-express Briefs
(2020-04-01)
ieeexplore.ieee.org
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images
Nazanin Mohammadi Sepahvand
Douglas L. Arnold
 and 
subtraction
segmentation
pattern recognition
multiple sclerosis
mechanism based
magnetic resonance imaging
lesion
disease activity
deep learning
computer vision
computer science
artificial intelligence
ISBI 2020
(2020-04-01)
dblp.uni-trier.de
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes
Davide Falessi
Justin Roll
 and 
Jane Cleland-Huang
theoretical computer science
task analysis
source code
software system
semantics
semantic similarity
locality of reference
intuition
information retrieval
computer science
code smell
IEEE Transactions on Software Engineering
(2020-04-01)
dblp.uni-trier.dePDF
The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case
Daniel Aloise
Luca G. Gianoli
 and 
Leandro R. Costa
swarm behaviour
distributed computing
computer science
assignment problem
3d mapping
Les Cahiers du GERAD
(2020-04-01)
ui.adsabs.harvard.edu
Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem
Jaime E. GonzĂĄlez
André Augusto Ciré
 and 
Louis-Martin Rousseau
solver
search tree
recursion
mathematics
mathematical optimization
integer programming
influence diagram
independent set
exploit
combinatorial optimization problem
Constraints - An International Journal
(2020-04-01)
link.springer.com
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
Teddy Ort
Krishna Murthy
Rohan Banerjee
Sai Krishna Gottipati
Dhaivat Bhatt
Igor Gilitschenski
 and 
Daniela Rus
vehicle frame
real time computing
planner
network topology
localization system
intelligent transportation system
global positioning system
fuse
engineering
control engineering
autonomous navigation system
ICRA 2020
(2020-04-01)
ieeexplore.ieee.org
Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex
Hyun Jae Jang
Hyowon Chung
James M. Rowland
Michael M. Kohl
 and 
Jeehyun Kwag
sensory system
parvalbumin
optogenetics
neuroscience
neocortex
interneuron
inhibitory postsynaptic potential
gating
condensed matter physics
biology
barrel cortex
Science Advances
(2020-04-01)
www.scilit.netPDF

2020-03

Multi-scale network regression for brain-phenotype associations.
Cedric Huchuan Xia
Zongming Ma
Zaixu Cui
Bertrand Thirion
Danielle S. Bassett
Theodore D. Satterthwaite
Russell T. Shinohara
 and 
Daniela M. Witten
sparse structure
regression
psychology
neuroscience
neuroimaging
multivariate statistics
multivariate analysis
model complexity
machine learning
interpretability
brain development
artificial intelligence
Human Brain Mapping
(2020-03-26)
www.scilit.netPDF
Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment
Anna Bonkhoff
Thomas M.H. Hope
Adrian Guggisberg
Rachel Hawe
Sean Dukelow
Anne Rehme
Gereon Fink
Christian Grefkes
 and 
Howard Bowman
stroke recovery
stroke
statistics
post stroke
motor impairment
motor function
mathematics
explained variation
confounding
bayesian probability
(venue unknown)
(2020-03-23)
kar.kent.ac.uk
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
Sai Rajeswar
Fahim Mannan
Florian Golemo
JĂ©rĂŽme Parent-LĂ©vesque
David VĂĄzquez
 and 
voxel
unsupervised learning
surfel
spatial intelligence
rendering
polygon mesh
encoder
differentiable function
computer vision
computer science
artificial intelligence
International Journal of Computer Vision
(2020-03-20)
link.springer.comPDF
On the Morality of Artificial Intelligence [Commentary]
Alexandra Luccioni
 and 
morality
engineering
artificial intelligence
algorithm design
IEEE Technology and Society Magazine
(2020-03-13)
doi.org
Inter-dependent Centrosomal Co-localization of the cen and ik2 cis-Natural Antisense mRNAs in Drosophila
Julie Bergalet
Dhara Patel
FĂ©lix Legendre
Catherine Lapointe
Louis Philip Benoit Bouvrette
Ashley Chin
Eunjeong Kwon
 and 
Eric LĂ©cuyer
untranslated region
sense
messenger rna
genome
genetics
gene
drosophila melanogaster
cytoplasm
centrosome
biology
Cell Reports
(2020-03-10)
www.sciencedirect.com
Not one model ïŹts all: unfairness in RSFC-based prediction of behavioral data in African American
Jingwei Li
Avram Holmes
Thomas Yeo
 and 
Sarah Genon
psychology
clinical psychology
behavioral data
african american
(venue unknown)
(2020-03-05)
orbi.uliege.be
A cross-national study of young female consumer behaviour, innovativeness and apparel evaluation: China and India
Osmud Rahman
Zhimin Chen
 and 
Devender Kharb
young female
structural engineering
materials science
marketing
emerging markets
cross national
consumer innovativeness
consumer behaviour
clothing
china
Journal of The Textile Institute
(2020-03-03)
e-space.mmu.ac.uk
Asynchronous Gradient-Push
Mahmoud Assran
 and 
network size
mathematics
mathematical optimization
iterated function
convex function
convergence
asynchrony
asynchronous communication
IEEE Transactions on Automatic Control
(2020-03-02)
xplorestaging.ieee.org
Probabilistic Sequential Multi-Objective Optimization of Convolutional Neural Networks.
Zixuan Yin
 and 
Brett H. Meyer
probabilistic logic
parallel computing
multi objective optimization
convolutional neural network
computer science
artificial intelligence
DATE 2020
(2020-03-01)
dblp.uni-trier.de
10,000 social brains: sex differentiation in human brain anatomy
Hannah Kiesow
Robin I. M. Dunbar
Joseph W. Kable
Tobias Kalenscher
Kai Vogeley
Leonhard Schilbach
Andre F. Marquand
Thomas V. Wiecki
 and 
social support
social dynamics
sexual differentiation
sensory system
loneliness
limbic system
human brain
ecology
cognitive psychology
brain size
biology
Science Advances
(2020-03-01)
advances.sciencemag.orgPDF
Systematic approach to provide building occupants with feedback to reduce energy consumption
Milad Ashouri
Fariborz Haghighat
 and 
Hiroshi Yoshino
waste management
ventilation
scalability
hvac
engineering
energy consumption
direct feedback
cluster analysis
artificial neural network
architectural engineering
air conditioning
Energy
(2020-03-01)
www.sciencedirect.com
Detecting breaking news rumors of emerging topics in social media
Sarah A. Alkhodair
Steven H.H. Ding
 and 
Junqiang Liu
topic shift
social network
social media
rumor
recurrent neural network
recall
information retrieval
computer science
Information Processing and Management
(2020-03-01)
www.sciencedirect.com
Joint location and pricing within a user-optimized environment
Teodora Dan
 and 
Patrice Marcotte
service level
revenue
queueing theory
nonlinear system
mathematical optimization
global optimum
efficient algorithm
continuous variable
computer science
EURO Journal on Computational Optimization
(2020-03-01)
link.springer.com
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard
Jakob N. Foerster
Sarath Chandar
Neil Burch
Marc Lanctot
H. Francis Song
Emilio Parisotto
Vincent Dumoulin
Subhodeep Moitra
Edward Hughes
Iain Dunning
Shibl Mourad
 and 
Michael Bowling
theory of mind
research community
perfect information
mathematics
machine learning
learning environment
frontier
data science
artificial intelligence
Artificial Intelligence
(2020-03-01)
www.sciencedirect.comPDF
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting
Di Wu
Boyu Wang
 and 
Benoit Boulet
transfer of learning
optimization problem
multiple kernel learning
machine learning
kernel method
kernel
engineering
electrical load
electric power system
control engineering
boosting
artificial intelligence
IEEE Transactions on Smart Grid
(2020-03-01)
dblp.uni-trier.de

2020-02

PAC-Bayes and Domain Adaptation
Amaury Habrard
François Laviolette
 and 
Emilie Morvant
upper and lower bounds
target distribution
mathematics
majority rule
domain adaptation
bayes theorem
algorithm
Neurocomputing
(2020-02-28)
www.sciencedirect.comPDF
Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex.
Pablo Billeke
Tomas Ossandon
Marcela Perrone-Bertolotti
Philippe Kahane
Julien Bastin
Jean-Philippe Lachaux
 and 
Pablo Fuentealba
relay
psychology
prefrontal cortex
neuroscience
insular cortex
insula
electrophysiology
delta wave
beta
adaptive behavior
Cerebral Cortex
(2020-02-28)
www.ncbi.nlm.nih.govPDF
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia.
Sameer Sardaar
Bill Qi
Alexandre Dionne-Laporte
Guy. A. Rouleau
 and 
Yannis J. Trakadis
synapse organization
retinoid metabolic process
psychology
neurotransmitter transport
machine learning
ion transmembrane transport
genetic architecture
exome
calcium ion transmembrane transport
autism
artificial intelligence
BMC Psychiatry
(2020-02-28)
bmcpsychiatry.biomedcentral.comPDF
Fasting alters the gut microbiome with sustained blood pressure and body weight reduction in metabolic syndrome patients
Andras Balogh
Hendrik Bartolomaeus
Ulrike Loeber
Ellen G. Avery
Nico Steckhan
Lajos Marko
Nicola Wilck
Ibrahim Hamad
Ursa Susnjar
Anja Maehler
Christoph Hohmann
Holger Cramer
Gustav Dobos
Till Robin Lesker
Till Strowig
Ralf Dechend
Markus Kleinewietfeld
Andreas Michalsen
Dominik N. Mueller
... (1 more)
positive correlation
metabolic syndrome
medicine
internal medicine
gut microbiome
fatty acid
endocrinology
dash diet
cd8
body weight
blood pressure
medRxiv
(2020-02-25)
www.medrxiv.org
RADICL-seq Identifies General and Cell Type-Specific Principles of Genome-Wide RNA-chromatin Interactions
Alessandro Bonetti
Federico Agostini
Ana Maria Suzuki
Kosuke Hashimoto
Giovanni Pascarella
Juliette Gimenez
Leonie Roos
Alex J. Nash
Marco Ghilotti
Christopher J. F. Cameron
Matthew Valentine
Yulia A. Medvedeva
Shuhei Noguchi
Eneritz Agirre
Kaori Kashi
Samudyata
Joachim LuginbĂŒhl
Riccardo Cazzoli
Saumya Agrawal
Nicholas M. Luscombe
... (9 more)
transcription
regulation of gene expression
rna
genome
genetics
encode
dna
computational biology
chromatin remodeling
chromatin
biology
Nature Communications
(2020-02-24)
www.nature.com
Automatic Generation of Specialized Direct Convolutions for Mobile GPUs
Naums Mogers
Valentin Radu
Lu Li
Jack Turner
Michael F. P. O'Boyle
 and 
parallel computing
convolution
computer science
code generation
PPOPP 2020
(2020-02-23)
www.research.ed.ac.ukPDF
Generating Fast Sparse Matrix Vector Multiplication From a High Level Generic Functional IR
Federico Pizzuti
Michel Steuwer
 and 
sparse matrix vector multiplication
sparse matrix
sparse approximation
row
programming language
multiplication
matrix
computer science
computational science
compiler
code generation
CC 2020
(2020-02-22)
eprints.gla.ac.uk
High-level hardware feature extraction for GPU performance prediction of stencils
Toomas Remmelg
Bastian Hagedorn
Lu Li
Michel Steuwer
Sergei Gorlatch
 and 
stencil code
performance prediction
parallel computing
feature extraction
computer science
PPOPP 2020
(2020-02-22)
www.scilit.netPDF
Deep geometric knowledge distillation with graphs
Carlos Eduardo Rosar KĂłs Lassance
Myriam Bontonou
Ghouthi Boukli Hacene
Vincent Gripon
 and 
Antonio Ortega
theoretical computer science
mathematical optimization
inference
graph
energy consumption
distillation
deep learning
computer science
artificial intelligence
architecture
ICASSP 2020
(2020-02-21)
hal.archives-ouvertes.frPDF
Improving Policy-Capturing with Active Learning for Real-Time Decision Support
Bénédicte Chatelais
Daniel Lafond
Alexandre Hains
 and 
sampling
policy capturing
machine learning
expert system
dilemma
decision support system
computer science
cognitive model
artificial intelligence
annotation
active learning
International Conference on Intelligent Human Systems Integration
(2020-02-19)
doi.org
Options of Interest: Temporal Abstraction with Interest Functions
Khimya Khetarpal
Martin Klissarov
Maxime Chevalier-Boisvert
Pierre-Luc Bacon
 and 
Doina Precup
programming language
machine learning
computer science
artificial intelligence
abstraction
AAAI 2020
(2020-02-07)
dblp.uni-trier.dePDF
Improved PAC-Bayesian Bounds for Linear Regression
Vera Shalaeva
Alireza Fakhrizadeh Esfahani
 and 
Mihaly Petreczky
training set
mathematical optimization
linear regression
computer science
bayesian probability
applied mathematics
AAAI 2020
(2020-02-07)
aaai.orgPDF
Memory Augmented Graph Neural Networks for Sequential Recommendation
Chen Ma
Liheng Ma
Yingxue Zhang
Jianing Sun
 and 
Mark Coates
still face
shared memory
recommender system
machine learning
graph neural networks
contextual information
computer science
bilinear map
artificial intelligence
AAAI 2020
(2020-02-07)
aaai.orgPDF
Count-Based Exploration with the Successor Representation
Marlos C. Machado
 and 
Michael Bowling
successor cardinal
machine learning
computer science
artificial intelligence
AAAI 2020
(2020-02-07)
aaai.orgPDF
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
Borui Wang
 and 
machine learning
latent variable
graphical model
computer science
belief propagation
artificial intelligence
AAAI 2020
(2020-02-07)
aaai.orgPDF
Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction
Vishal Jain
Liam Fedus
 and 
reinforcement learning
observable
observability
machine learning
learning problem
interactive fiction
computer science
artificial intelligence
AAAI 2020
(2020-02-07)
aaai.orgPDF
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford
 and 
video tracking
spatial invariance
scalability
machine learning
computer vision
computer science
artificial intelligence
AAAI 2020
(2020-02-07)
aaai.orgPDF
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu
Jie Fu
Yidan Zhang
 and 
Jiancheng Lv
machine learning
computer science
artificial intelligence
adversarial system
AAAI 2020
(2020-02-07)
aaai.orgPDF
Detecting semantic anomalies
Faruk Ahmed
 and 
semantic awareness
machine learning
learning based
computer science
cognitive neuroscience of visual object recognition
artificial intelligence
anomaly detection
AAAI 2020
(2020-02-07)
aaai.orgPDF
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
Kamrul Hasan
 and 
supervised learning
smooth approximation
probabilistic logic
machine learning
logistic regression
logistic function
computer science
artificial intelligence
ACM Transactions on Knowledge Discovery From Data
(2020-02-04)
dl.acm.org
Deep Learning Techniques for Decoding Polar Codes
Nghia Doan
Elie Ngomseu Mambou
 and 
Seyyed Ali Hashemi
wireless communication systems
polar
deep learning
decoding methods
computer science
computer engineering
channel code
channel capacity
artificial intelligence
Machine Learning for Future Wireless Communications
(2020-02-03)
onlinelibrary.wiley.com
Replication Packager for 'Generating Fast Sparse Matrix Vector Multiplicationfrom a High Level Generic Functional IR'
Federico Pizzuti
Michel Steuwer
 and 
sparse matrix vector
computer science
algorithm
Artifact Digital Object Group
(2020-02-03)
dx.doi.org
An Efficient Software Stack Sphere Decoder for Polar Codes
Huayi Zhou
Wenqing Song
Zaichen Zhang
Xiaohu You
 and 
Chuan Zhang
software
polar
mobile communication systems
list size
latency
electronic engineering
decoding methods
computer science
channel
arithmetic
IEEE Transactions on Vehicular Technology
(2020-02-01)
ieeexplore.ieee.org
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
Tong He
Ru Kong
Avram J. Holmes
Minh Nguyen
Mert R. Sabuncu
Simon B. Eickhoff
Jiashi Feng
 and 
B.T. Thomas Yeo
sample size determination
resting state fmri
psychology
neuroimaging
machine learning
kernel regression
human connectome project
feedforward neural network
deep learning
connectome
cognitive psychology
artificial intelligence
NeuroImage
(2020-02-01)
www.sciencedirect.com
Catalytic hydrolysis of microcystin-LR peptides on the surface of naturally occurring minerals
Yanfen Fang
Xinqiang Cao
Wei Zhou
David M. Johnson
 and 
Yingping Huang
specific surface area
reaction rate
organic chemistry
microcystin lr
microcystin
limonite
lewis acids and bases
inorganic chemistry
hydrolysis
chemistry
catalysis
Research on Chemical Intermediates
(2020-02-01)
link.springer.com
Efficient drone hijacking detection using two-step GA-XGBoost
Zhiwei Feng
Nan Guan
Mingsong Lv
Wenchen Liu
Qingxu Deng
 and 
Wang Yi
upload
two step
real time computing
inertial navigation system
inertial measurement unit
global positioning system
genetic algorithm
drone
correctness
computer science
Journal of Systems Architecture
(2020-02-01)
www.sciencedirect.com
Assessment of Extubation Readiness Using Spontaneous Breathing Trials in Extremely Preterm Neonates.
Wissam Shalish
Lara Kanbar
Lajos Kovacs
Sanjay Chawla
Martin Keszler
Smita Rao
Samantha Latremouille
Karen Brown
Robert E. Kearney
 and 
Guilherme M. Sant’Anna
surgery
medicine
mechanical ventilation
interquartile range
intensive care
gestational age
continuous positive airway pressure
bradycardia
birth weight
apnea
anesthesia
JAMA Pediatrics
(2020-02-01)
jamanetwork.com

2020-01

A white-light-emitting single MOF sensor-based array for berberine homologue discrimination
Qian Wang
Qiao Liu
Xiao-Meng Du
Bo Zhao
 and 
Wen-Juan Ruan
white light
titration
single measurement
sensor array
selectivity
photochemistry
optoelectronics
materials science
luminescence
berberine
analyte
Journal of Materials Chemistry C
(2020-01-30)
pubs.rsc.org
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
Florian Knoll
Jure Zbontar
Anuroop Sriram
Matthew J. Muckley
Mary Bruno
Aaron Defazio
Marc Parente
Krzysztof J. Geras
Joe Katsnelson
Hersh Chandarana
Zizhao Zhang
Michal Drozdzalv
Adriana Romero
James Pinkerton
Duo Wang
Nafissa Yakubova
Erich Owens
C. Lawrence Zitnick
... (3 more)
k space
mr images
dicom
computer vision
computer science
artificial intelligence
Radiology. Artificial intelligence
(2020-01-29)
pubs.rsna.org
A luminescent MOF as a fluorescent sensor for the sequential detection of Al3+ and phenylpyruvic acid
Qian Wang
Xiao-Meng Du
Bo Zhao
Meili Pang
 and 
Wen-Juan Ruan
selectivity
phenylpyruvic acid
nuclear chemistry
luminescence
ligand
intramolecular force
inorganic chemistry
fluorescence
chemistry
aqueous solution
adsorption
New Journal of Chemistry
(2020-01-27)
pubs.rsc.org
Resting-state connectivity stratifies premanifest Huntington's disease by longitudinal cognitive decline rate.
Pablo Polosecki
Eduardo Castro
Dorian Pustina
John H. Warner
Andrew Wood
Cristina Sampaio
 and 
Guillermo A. Cecchi
white matter
resting state fmri
population
physical medicine and rehabilitation
neuroimaging
medicine
huntington s disease
cohort
cognitive decline
cognition
Scientific Reports
(2020-01-27)
www.nature.com
Multi-Task Self-Supervised Learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
Pawel Swietojanski
Joao Monteiro
Jan Trmal
 and 
unsupervised learning
timit
speech recognition
self supervised learning
speech distortion
pattern recognition
ground truth
encoder
computer science
artificial neural network
artificial intelligence
ICASSP 2020
(2020-01-25)
ui.adsabs.harvard.edu
SafeWatch: A Wearable Hand Motion Tracking System for Improving Driving Safety
Chongguang Bi
Jun Huang
Guoliang Xing
Landu Jiang
 and 
Minghua Chen
wearable computer
tracking system
real time computing
hand motion
engineering
driving safety
ACM Transactions on Cyber-Physical Systems
(2020-01-22)
dblp.uni-trier.de
Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-term potentiation impaired by amyloid ÎČ oligomers.
Kyerl Park
Jaedong Lee
Hyun Jae Jang
Michael M. Kohl
 and 
Jeehyun Kwag
synaptic plasticity
parvalbumin
optogenetics
neuroscience
molecular biology
long term potentiation
ltp induction
interneuron
hippocampal formation
biology
biological neural network
BMC Biology
(2020-01-15)
bmcbiol.biomedcentral.comPDF
Ultrasensitive Assay of Alkaline Phosphatase Based on the Fluorescent Response Difference of the Metal-Organic Framework Sensor.
Xi-Yuan Yao
Qian Wang
Qiao Liu
Meili Pang
Xiao-Meng Du
Bo Zhao
 and 
Wen-Juan Ruan
metal organic framework
fluorescence
enzyme
clinical diagnosis
chemistry
biochemistry
alkaline phosphatase
abnormal expression
ACS omega
(2020-01-14)
pubs.acs.orgPDF
HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution
Christopher Jf Cameron
Josée Dostie
 and 
restriction fragment
matrix
markov random field
interpretability
genetics
density estimation
deep sequencing
chromosome conformation capture
chia pet
biology
biological system
Genome Biology
(2020-01-14)
genomebiology.biomedcentral.com
Uncovering axes of variation among single-cell cancer specimens.
William S. Chen
Nevena Zivanovic
David van Dijk
Bernd Bodenmiller
 and 
Smita Krishnaswamy
scalability
multicellular organism
manifold
general method
embedding
design of experiments
cell cancer
biology
biological system
bioinformatics
Nature Methods
(2020-01-13)
www.nature.com
Tiling Optimizations for Stencil Computations Using Rewrite Rules in Lift
Larisa Stoltzfus
Bastian Hagedorn
Michel Steuwer
Sergei Gorlatch
 and 
stencil
parallel computing
lift
general purpose computing on graphics processing units
computer science
computation
code generation
ACM Transactions on Architecture and Code Optimization
(2020-01-10)
www.research.ed.ac.ukPDF
Upstream ORF-Encoded ASDURF Is a Novel Prefoldin-like Subunit of the PAQosome.
Philippe Cloutier
Christian Poitras
Denis Faubert
Annie Bouchard
Marie-Soleil Gauthier
 and 
Benoit Coulombe
upstream open reading frame
untranslated region
translational regulation
protein subunit
protein complex assembly
prefoldin
computational biology
coding region
chaperone
biology
biochemistry
Journal of Proteome Research
(2020-01-03)
pubs.acs.org
Author Correction: Visualizing structure and transitions in high-dimensional biological data.
Kevin R. Moon
David van Dijk
Zheng Wang
Scott Gigante
Daniel B. Burkhardt
William S. Chen
Kristina Yim
Antonia van den Elzen
Matthew J. Hirn
Ronald R. Coifman
Natalia B. Ivanova
 and 
Smita Krishnaswamy
high dimensional
computational biology
biotechnology
biology
biological data
Nature Biotechnology
(2020-01-02)
www.nature.com
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.
Christian Weilbach
Boyan Beronov
 and 
William Harvey
theoretical computer science
machine learning
inference
graphical model
computer science
artificial intelligence
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
Coping With Simulators That Don't Always Return.
Andrew Warrington
 and 
Saeid Naderiparizi
machine learning
coping
computer science
artificial intelligence
AISTATS 2020
(2020-01-01)
dblp.uni-trier.dePDF
Enabling Secure Trustworthiness Assessment and Privacy Protection in Integrating Data for Trading Person-Specific Information
Rashid Hussain Khokhar
Farkhund Iqbal
 and 
Jamal Bentahar
trustworthiness
specific information
privacy protection
management science
internet privacy
engineering
IEEE Transactions on Engineering Management
(2020-01-01)
xplorestaging.ieee.org
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Tanya Nair
Doina Precup
Douglas L. Arnold
 and 
voxel
sigmoid function
segmentation
pattern recognition
network on
multiple sclerosis lesion
monte carlo method
mathematics
filter
deep learning
artificial intelligence
Medical Image Analysis
(2020-01-01)
www.sciencedirect.com
Efficient and Effective Dimension Control in Automotive Applications
Ye Ma
Gang Chen
Mingsong Lv
Wang Yi
Hao Chen
 and 
Bo Zhu
effective dimension
control engineering
computer science
automotive industry
IEEE Transactions on Industrial Informatics
(2020-01-01)
xplorestaging.ieee.org
AdSherlock: Efficient and Deployable Click Fraud Detection for Mobile Applications
Chenhong Cao
Yi Gao
Yang Luo
Mingyuan Xia
Wei Dong
Chun Chen
 and 
computer science
computer network
click fraud
IEEE Transactions on Mobile Computing
(2020-01-01)
xplorestaging.ieee.org
Givs: Fine-Grained Gesture Control for Mobile Devices in Driving Environments
Landu Jiang
Mingyuan Xia
 and 
Fan Bai
use case
touchscreen
public transport
obstacle
mobile device
mobile computing
human computer interaction
gesture recognition
gesture
distributed computing
computer science
IEEE Access
(2020-01-01)
dblp.uni-trier.de
Bulk Savings for Bulk Transfers: Minimizing the Energy-Cost for Geo-Distributed Data Centers
Xingjian Lu
Fanxin Kong
Jianwei Yin
Qiao Xiang
 and 
Huiqun Yu
real time computing
operating cost
job shop scheduling
electronic mail
distributed database
distributed computing
data transmission
data modeling
data center
computer science
cloud computing
IEEE Transactions on Cloud Computing
(2020-01-01)
ieeexplore.ieee.org
Mycorrhiza: Genotype Assignment using Phylogenetic Networks.
Jeremy Georges-Filteau
Richard C Hamelin
 and 
random forest
python
phylogenetic tree
phylogenetic network
encode
dimensionality reduction
data mining
computer science
classifier
assignment problem
Bioinformatics
(2020-01-01)
academic.oup.com
An ILP Solver for Multi-label MRFs with Connectivity Constraints
Ruobing Shen
Eric Kendinibilir
Ismail Ben Ayed
Andrea Tramontani
 and 
Gerhard Reinelt
solver
pattern recognition
parallel computing
mathematics
artificial intelligence
IEEE Transactions on Image Processing
(2020-01-01)
ui.adsabs.harvard.eduPDF
Activation Adaptation in Neural Networks.
Farnoush Farhadi
Vahid Partovi Nia
 and 
machine learning
computer science
artificial neural network
artificial intelligence
ICPRAM 2020
(2020-01-01)
dblp.uni-trier.dePDF
Block planning for intermodal rail: Methodology and case study
Gianluca Morganti
Teodor Gabriel Crainic
 and 
Nicolettta Ricciardi
transport engineering
rail freight transport
network planning and design
economies of scale
destinations
computer science
commercial software
Transportation research procedia
(2020-01-01)
www.sciencedirect.com
The AI Driving Olympics at NeurIPS 2018
Julian G. Zilly
Jacopo Tani
Breandan Considine
Bhairav Mehta
Andrea F. Daniele
Manfred Diaz
Gianmarco Bernasconi
Claudio Ruch
Jan Hakenberg
Florian Golemo
A. Kirsten Bowser
Matthew R. Walter
Ruslan Hristov
Sunil Mallya
Emilio Frazzoli
Andrea Censi
 and 
robotics
reinforcement learning
neural information processing
machine learning
implementation
human computer interaction
fleet management
embodied cognition
deep learning
computer science
competitor analysis
artificial intelligence
NEURIPS 2020
(2020-01-01)
link.springer.com
Few-Shot Learning
computer vision
computer science
artificial intelligence
(venue unknown)
(2020-01-01)
link.springer.com
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.
Philip Amortila
Doina Precup
 and 
sampling
reinforcement learning
machine learning
computer science
artificial intelligence
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT.
Ashutosh Adhikari
Achyudh Ram
Raphael Tang
 and 
Jimmy Lin
natural language processing
document classification
distillation
computer science
artificial intelligence
ACL 2020
(2020-01-01)
dblp.uni-trier.de
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.
Manuel Sage
Pietro Cruciata
Raed Abdo
 and 
Yaoyao Fiona Zhao
psychology
linguistics
german
authorship attribution
SwissText/KONVENS
(2020-01-01)
dblp.uni-trier.de
Gifting in Multi-Agent Reinforcement Learning.
Andrei Lupu
 and 
reinforcement learning
machine learning
computer science
artificial intelligence
Autonomous Agents and Multi-Agent Systems
(2020-01-01)
dblp.uni-trier.de
Gifting in Multi-Agent Reinforcement Learning (Student Abstract).
Andrei Lupu
 and 
reinforcement learning
machine learning
computer science
artificial intelligence
AAAI 2020
(2020-01-01)
dblp.uni-trier.de
Value Preserving State-Action Abstractions.
David Abel
Nate Umbanhowar
Khimya Khetarpal
Dilip Arumugam
 and 
Michael L. Littman
state action
programming language
machine learning
computer science
artificial intelligence
abstraction
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract).
Qizhen Zhang
 and 
machine learning
inductive bias
computer science
artificial intelligence
AAAI 2020
(2020-01-01)
dblp.uni-trier.de
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.
Baihan Lin
Guillermo A. Cecchi
Djallel Bouneffouf
Jenna Reinen
 and 
streams
reinforcement learning
neuropsychiatry
machine learning
computer science
artificial intelligence
Autonomous Agents and Multi-Agent Systems
(2020-01-01)
dblp.uni-trier.de
Tensorized Random Projections.
Beheshteh T. Rakhshan
 and 
machine learning
computer science
artificial intelligence
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
GAIT: A Geometric Approach to Information Theory.
Jose Gallego-Posada
Ankit Vani
Max Schwarzer
 and 
machine learning
information theory
gait
computer science
artificial intelligence
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
WaĂŻss Azizian
 and 
Gauthier Gidel
mathematical optimization
gradient based algorithm
differentiable function
computer science
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
Accelerating Smooth Games by Manipulating Spectral Shapes.
WaĂŻss Azizian
Damien Scieur
 and 
Gauthier Gidel
machine learning
computer science
computer graphics images
artificial intelligence
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
On the interplay between noise and curvature and its effect on optimization and generalization.
Valentin Thomas
Fabian Pedregosa
Bart van Merriënboer
Pierre-Antoine Manzagol
 and 
mathematical optimization
curvature
computer science
applied mathematics
AISTATS 2020
(2020-01-01)
dblp.uni-trier.de
Toward Training Recurrent Neural Networks for Lifelong Learning.
Shagun Sodhani
 and 
recurrent neural network
parametric statistics
mathematics
machine learning
lifelong learning
forgetting
artificial intelligence
Neural Computation
(2020-01-01)
ui.adsabs.harvard.eduPDF
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks
Rifat Arefin
Vincent Michalski
Pierre-Luc St-Charles
Alfredo Kalaitzis
Sookyung Kim
Samira E. Kahou
 and 
superresolution
multi image
computer vision
computer science
artificial intelligence
CVPR 2020
(2020-01-01)
openaccess.thecvf.comPDF
Compositional Generalization by Factorizing Alignment and Translation.
Jacob Russin
Jason Jo
Randall C. O'Reilly
 and 
natural language processing
computer science
artificial intelligence
ACL 2020
(2020-01-01)
dblp.uni-trier.de

2019-12

Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model.
Lina M. Tran
Sheena A. Josselyn
 and 
Paul W. Frankland
psychology
population
neuroscience
neuron
neurogenesis
internal medicine
hippocampus
hippocampal formation
forgetting
endocrinology
dentate gyrus
artificial neural network
Behavioural Brain Research
(2019-12-30)
www.sciencedirect.com
CLOSURE: Assessing Systematic Generalization of CLEVR Models.
Dzmitry Bahdanau
Harm de Vries
Shikhar Murty
Philippe Beaudoin
 and 
computer science
calculus
ViGIL@NeurIPS
(2019-12-12)
dblp.uni-trier.dePDF
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin
Lei Shao
Wahid Bhimji
Lukas Heinrich
Saeid Naderiparizi
Andreas Munk
Jialin Liu
Bradley J Gram-Hansen
Gilles Louppe
Lawrence Meadows
Philip Torr
Victor Lee
Kyle Cranmer
Prabhat
 and 
recurrent neural network
probabilistic logic
markov chain monte carlo
machine learning
inference engine
inference
importance sampling
computer science
bayesian probability
artificial neural network
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
The Thermodynamic Variational Objective
Vaden Masrani
Tuan Anh Le
 and 
upper and lower bounds
thermodynamic integration
mathematical optimization
marginal likelihood
inference
generative grammar
estimator
computer science
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte
Benjamin Guedj
 and 
Francois Laviolette
machine learning
expected loss
deep neural networks
computer science
binary number
bayesian probability
artificial neural network
artificial intelligence
activation function
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Will Dabney
Robert Dadashi-Tazehozi
Adrien Ali Taiga
Pablo Samuel Castro
Nicolas Le Roux
Dale Schuurmans
Tor Lattimore
 and 
Clare Lyle
special class
reinforcement learning
mathematical optimization
feature learning
computer science
close relationship
bellman equation
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
 and 
William Buchwalter
segmentation
mutual information
multiple view
modalities
machine learning
feature learning
computer science
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Learning Neural Networks with Adaptive Regularization
Han Zhao
Yao-Hung Tsai
Ruslan Salakhutdinov
 and 
regularization
multiclass classification
machine learning
kronecker product
kronecker delta
empirical bayes method
coordinate descent
computer science
backpropagation
artificial neural network
artificial intelligence
algorithm
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Towards modular and programmable architecture search
Renato Negrinho
Matthew Gormley
Darshan Patil
Nghia Le
 and 
Daniel Ferreira
theoretical computer science
search algorithm
modular design
machine learning
language model
language construct
hyperparameter optimization
formal language
encoding
deep learning
computer science
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao
Yujia Li
Yang Song
Shenlong Wang
David Duvenaud
Raquel Urtasun
 and 
Richard Zemel
time efficiency
theoretical computer science
sampling
mathematical optimization
graph generation
graph
generative grammar
computer science
bottleneck
block size
bernoulli s principle
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Mahmoud Assran
Joshua Romoff
Nicolas Ballas
 and 
synchronization
scalability
reinforcement learning
machine learning
gossip
distributed computing
computer science
asynchronous communication
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Probabilistic Logic Neural Networks for Reasoning
Meng Qu
 and 
theoretical computer science
term logic
rule of inference
probabilistic logic
markov logic network
machine learning
inference
embedding
domain knowledge
computer science
artificial neural network
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun
Meng Qu
Jordan Hoffmann
Chin-Wei Huang
 and 
theoretical computer science
power graph analysis
parameterized complexity
multinomial distribution
machine learning
inference
graph
generative model
feature learning
computer science
backpropagation
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Online Continual Learning with Maximal Interfered Retrieval
Rahaf Aljundi
Eugene Belilovsky
Tinne Tuytelaars
Massimo Caccia
Min Lin
 and 
Lucas Page-Caccia
sampling
machine learning
learning agent
generative model
generative grammar
forgetting
continual learning
computer science
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse
Didier Chetelat
Nicola Ferroni
 and 
theoretical computer science
solver
machine learning
graph
feature selection
convolutional neural network
computer science
combinatorial optimization problem
combinatorial optimization
branching
bipartite graph
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Neural Multisensory Scene Inference
Jae Hyun Lim
Pedro O. Pinheiro
Negar Rostamzadeh
 and 
Sungjin Ahn
stimulus modality
robustness
modalities
machine learning
inference
generative grammar
feature learning
embodied cognition
computer science
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Real-Time Reinforcement Learning
Simon Ramstedt
 and 
reinforcement learning
markov decision process
machine learning
control algorithm
computer science
computation
artificial intelligence
action selection
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Reducing the variance in online optimization by transporting past gradients
SĂ©bastien Arnold
Pierre-Antoine Manzagol
Reza Harikandeh
 and 
Nicolas Le Roux
variance reduction
stochastic optimization
rate of convergence
online optimization
mathematical optimization
iterated function
hessian matrix
finite set
estimator
computer science
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani
Aaron Mishkin
Issam Laradji
Mark Schmidt
Gauthier Gidel
 and 
stochastic gradient descent
rate of convergence
mathematical optimization
lipschitz continuity
line search
kernel method
interpolation
gradient descent
convergence
computer science
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
Gauthier Gidel
Francis Bach
 and 
regularization
regression
optimization algorithm
mathematical optimization
linear network
initialization
deep neural networks
convergence
computer science
artificial neural network
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova
Gauthier Gidel
François Fleuret
 and 
optimization methods
optimization algorithm
mathematical optimization
mnist database
large class
gradient noise
convergence
computer science
batch method
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Ordered Memory
Yikang Shen
Shawn Tan
SeyedArian Hosseini
Zhouhan Lin
Alessandro Sordoni
 and 
treebank
tree structure
recursion
recurrent neural network
memory architecture
machine learning
ground truth
deep learning
cumulative distribution function
computer science
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette
Yuchen Lu
Seton Steven Bocco
Max Smith
Jonathan K. Kummerfeld
Satinder Singh
 and 
teamwork
supervised learning
social dilemma
reinforcement learning
machine learning
diplomacy
computer science
betrayal
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
On Adversarial Mixup Resynthesis
Christopher Beckham
Sina Honari
Alex Lamb
vikas verma
Farnoosh Ghadiri
 and 
qualitative evidence
machine learning
interpolation
discriminator
computer science
artificial intelligence
architecture
adversarial system
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult
Benjamin Scellier
Damien Querlioz
 and 
Julie Grollier
transition function
steady state
recurrent neural network
mathematical optimization
mnist database
deep neural networks
computer science
backpropagation through time
artificial neural network
algorithm
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Devansh Arpit
VĂ­ctor Campos
 and 
robustness
residual neural network
residual
normalization
machine learning
initialization
deep learning
computer science
artificial intelligence
algorithm
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Variational Temporal Abstraction
Taesup Kim
Sungjin Ahn
 and 
theoretical computer science
state space representation
sequential data
machine learning
inference
imagination
computer science
artificial intelligence
abstraction
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Giancarlo Kerg
Kyle Goyette
Maximilian Puelma Touzel
Gauthier Gidel
Eugene Vorontsov
 and 
vanishing gradient problem
schur decomposition
recurrent neural network
orthogonality
orthogonal matrix
matrix
mathematical optimization
eigenvalues and eigenvectors
computer science
computation
algorithm
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Marc-Alexandre CÎté
 and 
state representation
open problem
mutual information
machine learning
intelligent agent
ground truth
generative grammar
feature learning
encoder
computer science
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar
Rithesh Kumar
Thibault de Boissiere
Lucas Gestin
Wei Zhen Teoh
Jose Sotelo
Alexandre de Brébisson
 and 
waveform
speech synthesis
raw audio format
mean opinion score
machine learning
inversion
generative grammar
generality
computer science
artificial intelligence
algorithm
adversarial system
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Gradient based sample selection for online continual learning
Rahaf Aljundi
Min Lin
Baptiste Goujaud
 and 
sample selection
mathematical optimization
machine learning
gradient based algorithm
forgetting
feasible region
continual learning
constraint reduction
constrained optimization
computer science
artificial neural network
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Aaron van den Oord
Sergey Levine
 and 
Pierre Sermanet
reinforcement learning
overfitting
mutual information
maximization
machine learning
lipschitz continuity
kullback leibler divergence
feature learning
computer science
cognitive neuroscience of visual object recognition
artificial intelligence
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF
Visualizing structure and transitions in high-dimensional biological data.
Kevin R. Moon
David van Dijk
Zheng Wang
Scott Gigante
Daniel B. Burkhardt
William S. Chen
Kristina Yim
Antonia van den Elzen
Matthew J. Hirn
Ronald R. Coifman
Natalia B. Ivanova
 and 
Smita Krishnaswamy
visualization
pattern recognition
embedding
dimensionality reduction
data visualization
data type
data structure
data point
biotechnology
biology
biological data
artificial intelligence
Nature Biotechnology
(2019-12-03)
www.nature.com
Author correction: Why rankings of biomedical image analysis competitions should be interpreted with care (Nature Communications, (2018), 9, 1, (5217), 10.1038/s41467-018-07619-7)
Lena Maier-Hein
Matthias Eisenmann
Annika Reinke
Sinan Onogur
Marko Stankovic
Patrick Scholz
Hrvoje Bogunovic
Andrew P. Bradley
Aaron Carass
Carolin Feldmann
Alejandro F. Frangi
Peter M. Full
Bram van Ginneken
Allan Hanbury
Katrin Honauer
Michal Kozubek
Bennett A. Landman
Keno MĂ€rz
Oskar Maier
... (18 more)
information retrieval
genetics
biomedical image
biology
Nature Communications
(2019-12-01)
research.tue.nl
Finding Archetypal Spaces Using Neural Networks
David van Dijk
Daniel B. Burkhardt
Matthew Amodio
Alexander Tong
 and 
Smita Krishnaswamy
theoretical computer science
maxima and minima
machine learning
feature vector
feature learning
data domain
data density
convex combination
computer science
artificial neural network
artificial intelligence
archetypal analysis
BIG DATA 2019
(2019-12-01)
dblp.uni-trier.de
Coupling between human brain activity and body movements: Insights from non-invasive electromagnetic recordings
Mathieu Bourguignon
Veikko Jousmaki
Sarang S.S. Dalal
 and 
Xavier De Tiege
sensorimotor rhythm
psychology
proprioception
neuroscience
magnetoencephalography
isometric exercise
human brain
electroencephalography
efferent
coherence
cognitive psychology
NeuroImage
(2019-12-01)
www.sciencedirect.comPDF
Expressiveness and Learning of Hidden Quantum Markov Models.
Sandesh Adhikary
Siddarth Srinivasan
 and 
Byron Boots
theoretical computer science
quantum
markov model
machine learning
expressivity
computer science
artificial intelligence
AISTATS 2019
(2019-12-01)
ui.adsabs.harvard.edu

2019-11

Bisimulation for Feller-Dynkin Processes
Linan Chen
Florence Clerc
 and 
theoretical computer science
stochastic process
markov process
markov chain
equivalence
computer science
bisimulation
algebra
Electronic Notes in Theoretical Computer Science
(2019-11-30)
www.sciencedirect.com
Universality and diversity in human song.
Samuel A. Mehr
Manvir Singh
Dean Knox
Daniel M. Ketter
Daniel Pickens-Jones
S. Atwood
Christopher Lucas
Nori Jacoby
Alena A. Egner
Erin J. Hopkins
Rhea M. Howard
Joshua K. Hartshorne
Mariela V. Jennings
Jan Simson
Constance M. Bainbridge
Steven Pinker
Max M. Krasnow
 and 
Luke Glowacki
vocal music
tonality
psychology
perception
musical form
musical
melody
formality
dance
cognitive psychology
Science
(2019-11-22)
hraf.yale.eduPDF
Etalumis: bringing probabilistic programming to scientific simulators at scale
Atilim GĂŒneƟ Baydin
Lei Shao
Wahid Bhimji
Lukas Heinrich
Lawrence Meadows
Jialin Liu
Andreas Munk
Saeid Naderiparizi
Bradley Gram-Hansen
Gilles Louppe
Mingfei Ma
Xiaohui Zhao
Philip Torr
Victor Lee
Kyle Cranmer
Prabhat
 and 
supercomputer
scalability
rewriting
probabilistic logic
markov chain monte carlo
inference
distributed computing
deep learning
computer science
bayesian inference
artificial intelligence
HIPC 2019
(2019-11-17)
inspirehep.net
Universal Dependencies 2.5
Daniel Zeman
Joakim Nivre
Mitchell Abrams
Noëmi Aepli
Ćœeljko Agić
Lars Ahrenberg
Gabrielė AleksandravičiĆ«tė
Lene Antonsen
Katya Aplonova
Maria Jesus Aranzabe
Gashaw Arutie
Masayuki Asahara
Luma Ateyah
Mohammed Attia
Aitziber Atutxa
Liesbeth Augustinus
Elena Badmaeva
Miguel Ballesteros
Esha Banerjee
Sebastian Bank
... (324 more)
universal dependencies
treebank
syntax
parsing
natural language processing
interlingua
computer science
artificial intelligence
annotation
(venue unknown)
(2019-11-15)
hdl.handle.net
SST'19 - Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019
Jan-Philipp Steghöfer
Nan Niu
 and 
Anas Mahmoud
traceability
systems engineering
software engineering
software
computer science
ACM Sigsoft Software Engineering Notes
(2019-11-14)
dblp.uni-trier.de
oRNAment: a database of putative RNA binding protein target sites in the transcriptomes of model species.
Louis Philip Benoit Bouvrette
Samantha Bovaird
 and 
Eric LĂ©cuyer
transcriptome
rna binding protein
rna
model organism
drosophila melanogaster
database
danio
caenorhabditis elegans
biology
binding site
Nucleic Acids Research
(2019-11-14)
academic.oup.com
Nonlinear chance-constrained problems with applications to hydro scheduling
Enrico Malaguti
Giacomo Nannicini
 and 
Dimitri Thomopulos
solver
scheduling
numerical analysis
nonlinear system
nonlinear programming
mathematics
mathematical optimization
job shop scheduling
finite set
feasible region
Mathematical Programming
(2019-11-14)
link.springer.com
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy
Alex Lamb
Vikas Verma
Juho Kannala
 and 
training methods
standard error
robustness
machine learning
interpolation
deep learning
computer science
artificial neural network
artificial intelligence
adversary
adversarial system
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security
(2019-11-11)
doi.org
Integral formulations of volumetric transmittance
Iliyan Georgiev
Zackary Misso
Toshiya Hachisuka
Jaroslav Kƙivánek
 and 
Wojciech Jarosz
transmittance
random walk
monte carlo method
monte carlo integration
mathematics
mathematical optimization
light attenuation
intuition
estimator
control variates
ACM Transactions on Graphics
(2019-11-08)
doi.org
Non-linear sphere tracing for rendering deformed signed distance fields
Dario Seyb
Alec Jacobson
 and 
Wojciech Jarosz
tracing
signed distance function
rendering
nonlinear system
mathematics
computer vision
computer graphics images
artificial intelligence
ACM Transactions on Graphics
(2019-11-08)
dblp.uni-trier.de
Referring Expression Generation Using Entity Profiles
Meng Cao
 and 
referring expression generation
natural language processing
computer science
artificial intelligence
IJCNLP 2019
(2019-11-03)
www.emnlp-ijcnlp2019.orgPDF
Countering the effects of lead bias in news summarization via multi-stage training and auxiliary losses
Matt Grenander
Yue Dong
 and 
Annie Louis
natural language processing
multi stage
computer science
automatic summarization
artificial intelligence
IJCNLP 2019
(2019-11-03)
www.emnlp-ijcnlp2019.orgPDF
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Paul Trichelair
Ali Emami
Adam Trischler
Kaheer Suleman
 and 
winograd schema challenge
natural language processing
computer science
commonsense reasoning
artificial intelligence
IJCNLP 2019
(2019-11-03)
www.emnlp-ijcnlp2019.org
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha
Shagun Sodhani
Jin Dong
 and 
natural language processing
inductive reasoning
computer science
artificial intelligence
IJCNLP 2019
(2019-11-03)
www.emnlp-ijcnlp2019.orgPDF
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
Huawei Shen
 and 
Peng Bao
power graph analysis
information retrieval
graph neural networks
graph
graph
feature learning
data structure
computer science
CIKM 2019
(2019-11-03)
dblp.uni-trier.de
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
 and 
user identifier
self attention
residual
recommender system
raw data
online advertising
data mining
computer science
categorical variable
artificial neural network
CIKM 2019
(2019-11-03)
dblp.uni-trier.dePDF
Interactive Language Learning by Question Answering
Xingdi Yuan
Marc-Alexandre CÎté
Jie Fu
Zhouhan Lin
 and 
Adam Trischler
question answering
natural language processing
linguistics
language acquisition
computer science
artificial intelligence
IJCNLP 2019
(2019-11-03)
www.emnlp-ijcnlp2019.org
RadioLoc: Learning Vehicle Locations with FM Signal in All-Terrain Environments
Xi Chen
Qiao Xiang
Linghe Kong
 and 
terrain
sweep frequency response analysis
satellite navigation
real time computing
intelligent transportation system
global positioning system
frequency modulation
distributed computing
distortion
computer science
bandwidth
MASS 2019
(2019-11-01)
doi.org
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
Sahand Rezaei-Shoshtari
 and 
Inna Sharf
robot manipulator
robot
recursion
manipulator
inverse dynamics
gaussian process
dimensionality reduction
data efficiency
control theory
control engineering
computer science
IROS 2019
(2019-11-01)
dblp.uni-trier.de
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng
Remi Tachet des Combes
Byron Boots
 and 
reinforcement learning
regret
online learning
machine learning
computer science
artificial intelligence
AISTATS 2019
(2019-11-01)
ui.adsabs.harvard.edu
Option-critic in cooperative multi-agent systems
Jhelum Chakravorty
Patrick Nadeem Ward
Julien Roy
Maxime Chevalier-Boisvert
Sumana Basu
Andrei Lupu
 and 
multi agent system
distributed computing
computer science
Autonomous Agents and Multi-Agent Systems
(2019-11-01)
dl.acm.org
Deep Generative Modeling of LiDAR Data
Lucas Caccia
Herke van Hoof
 and 
robustness
robotics
point cloud
lidar data
lidar
generative grammar
external data representation
data type
computer vision
computer science
artificial intelligence
IROS 2019
(2019-11-01)
dblp.uni-trier.de

2019-10

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.
Willem Zuidema
Robert M. French
Raquel G. Alhama
Kevin Ellis
Tim Sainburg
 and 
Timothy Q. Gentner
visualization
psychology
model selection
experimental research
computational model
cognitive science
bayesian inference
artificial neural network
artificial language learning
artificial grammar learning
Topics in Cognitive Science
(2019-10-30)
onlinelibrary.wiley.com
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
Martin Weiss
Simon Chamorro
Roger Girgis
Margaux Luck
Samira Ebrahimi Kahou
Joseph Paul Cohen
Florian Golemo
 and 
visually impaired
computer vision
computer science
artificial intelligence
CoRL
(2019-10-29)
proceedings.mlr.press
Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI.
Joshua Durso-Finley
Douglas L. Arnold
 and 
voxel
segmentation
salience
radiology
multiple sclerosis
lesion
false positive paradox
false discovery rate
deep learning
computer science
artificial intelligence
International MICCAI Brainlesion Workshop
(2019-10-17)
link.springer.com
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
Raghav Mehta
Thomas Christinck
Tanya Nair
Paul LemaĂźtre
Douglas L. Arnold
 and 
voxel
segmentation
sample variance
pattern recognition
monte carlo method
medical imaging
inference
embedding
deep learning
computer science
artificial intelligence
UNSURE/CLIP@MICCAI
(2019-10-17)
doi.org
Efficient Inference Amortization in Graphical Models using Structured Continuous Conditional Normalizing Flows
Christian Weilbach
Boyan Beronov
William Harvey
 and 
inference
graphical model
data mining
computer science
amortization
(venue unknown)
(2019-10-16)
openreview.netPDF
Visual short‐term memory activation patterns in adult survivors of childhood acute lymphoblastic leukemia
Aubree Boulet‐Craig
Philippe Robaey
Fanny Barlaam
Julie Laniel
Victor Oswald
Serge Sultan
Laurence Affret‐Bertout
Simon Drouin
Maja Krajinovic
Caroline LaverdiĂšre
Daniel Sinnett
Pierre Jolicoeur
 and 
Sarah Lippé
visual short term memory
supramarginal gyrus
short term memory
precentral gyrus
postcentral gyrus
pathology
neurocognitive
middle temporal gyrus
medicine
inferior frontal gyrus
audiology
Nash Games Among Stackelberg Leaders.
Margarida Carvalho
Gabriele Dragotto
Felipe Feijoo
 and 
Sriram Sankaranarayanan
stackelberg competition
nash games
mathematical economics
(venue unknown)
(2019-10-14)
dblp.uni-trier.dePDF
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases
Barleen Kaur
Paul LemaĂźtre
Raghav Mehta
Nazanin Mohammadi Sepahvand
Douglas L. Arnold
 and 
transfer of learning
supervised learning
segmentation
network on
machine learning
large class
encoder
deep learning
computer science
brain tumor segmentation
artificial intelligence
DART/MIL3ID@MICCAI
(2019-10-13)
doi.org
Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders.
Sumana Basu
Konrad Wagstyl
Azar Zandifar
D. Louis Collins
Adriana Romero
 and 
structural magnetic resonance imaging
pattern recognition
neuroscience
latent variable
early prediction
disease progression
disease
dementia
computer science
artificial intelligence
MICCAI 2019
(2019-10-13)
doi.org
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki
Mohammad Havaei
Tess Berthier
Francis Dutil
Lisa Di-Jorio
Ghassan Hamarneh
 and 
pattern recognition
mutual information
masking
limiting
deep learning
computer science
chest disease
artificial intelligence
MICCAI 2019
(2019-10-13)
link.springer.com
Visualizing High Dimensional Dynamical Processes
Andres F. Duque
 and 
Kevin R. Moon
visualization
time series
pattern recognition
operator
nonlinear dimensionality reduction
kernel
information geometry
dynamical systems theory
data visualization
data mining
computer science
artificial intelligence
MLSP 2019
(2019-10-12)
sigport.orgPDF
Exploring single-cell data with deep multitasking neural networks.
Matthew Amodio
David van Dijk
Krishnan Srinivasan
William S. Chen
Hussein Mohsen
Kevin R. Moon
Allison Campbell
Yujiao Zhao
Xiaomei Wang
Manjunatha Venkataswamy
Anita Desai
V. Ravi
Priti Kumar
Ruth Montgomery
 and 
Smita Krishnaswamy
visualization
unsupervised clustering
scalability
human multitasking
deep learning
data mining
biology
bioinformatics
artificial neural network
artificial intelligence
Nature Methods
(2019-10-07)
www.nature.comPDF
A deep learning framework for neuroscience.
Timothy P Lillicrap
Philippe Beaudoin
Rafal Bogacz
Amelia Christensen
Claudia Clopath
Rui Ponte Costa
Archy de Berker
Surya Ganguli
Colleen J Gillon
Danijar Hafner
Adam Kepecs
Nikolaus Kriegeskorte
Peter Latham
Grace W Lindsay
Kenneth D Miller
Richard Naud
Christopher C Pack
Panayiota Poirazi
... (12 more)
systems neuroscience
perception
neuroscience
deep learning
cognition
biology
artificial neural network
artificial intelligence
Nature Neuroscience
(2019-10-02)
www.nature.com
Deep Parametric Indoor Lighting Estimation
Marc-Andre Gardner
Yannick Hold-Geoffroy
Kalyan Sunkavalli
 and 
Jean-Francois Lalonde
single image
reflection mapping
qualitative evaluations
pattern recognition
parametric statistics
ground truth
differentiable function
computer vision
computer science
compositing
artificial neural network
artificial intelligence
ICCV 2019
(2019-10-01)
openaccess.thecvf.comPDF
Metal-organic frameworks based fluorescent sensor array for discrimination of flavonoids.
Qiao Liu
Jie Gao
Zhe Zheng
Di Ning
Qian Wang
Xiao-Meng Du
Bo Zhao
Wen-Juan Ruan
 and 
uv spectrum
sensor array
metal organic framework
linear discriminant analysis
hierarchical clustering
fluorescence
drug analysis
chemistry
biological system
analytical chemistry
Talanta
(2019-10-01)
www.sciencedirect.com
Learning chordal extensions
Mathieu Tanneau
 and 
Defeng Liu
combinatorics
chordal graph
Les Cahiers du GERAD
(2019-10-01)
www.gerad.caPDF
Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines
Jakub M. Tomczak
Szymon Zaręba
 and 
Russell Greiner
sampling
restricted boltzmann machine
pattern recognition
maximum a posteriori estimation
mathematics
hidden variable theory
gumbel distribution
boltzmann machine
boltzmann distribution
binary number
artificial intelligence
algorithm
Neural Processing Letters
(2019-10-01)
link.springer.comPDF
Continual Learning of New Sound Classes Using Generative Replay
Zhepei Wang
Cem Subakan
Efthymios Tzinis
Paris Smaragdis
 and 
training set
spectrogram
sound classification
machine learning
generative grammar
forgetting
electronic engineering
continual learning
computer science
classifier
artificial neural network
artificial intelligence
WASPAA 2019
(2019-10-01)
experts.illinois.edu
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon
Nicolas Ballas
 and 
video sequence
video prediction
stochastic process
probabilistic logic
pattern recognition
machine learning
latent variable
hierarchy
expressivity
data modeling
computer science
artificial intelligence
ICCV 2019
(2019-10-01)
openaccess.thecvf.comPDF
Batch Weight for Domain Adaptation With Mass Shift
Mikolaj Binkowski
 and 
training transfer
target distribution
semantics
probabilistic logic
pattern recognition
joint probability distribution
generative grammar
domain adaptation
computer science
artificial intelligence
ICCV 2019
(2019-10-01)
openaccess.thecvf.comPDF
Depth with nonlinearity creates no bad local minima in ResNets.
Kenji Kawaguchi
 and 
residual neural network
residual
nonlinear system
non convex optimization
neural information processing
network architecture
maxima and minima
mathematics
mathematical optimization
deep learning
artificial intelligence
Neural Networks
(2019-10-01)
www.sciencedirect.comPDF
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
Mahfuzur Rahman Siddiquee
Zongwei Zhou
Nima Tajbakhsh
Ruibin Feng
Michael Gotway
 and 
Jianming Liang
pixel
pattern recognition
medical imaging
image translation
generative grammar
fixed point
disease detection
computer vision
computer science
artificial intelligence
annotation
adversarial system
ICCV 2019
(2019-10-01)
openaccess.thecvf.comPDF

2019-09

Retrieving Signals in the Frequency Domain with Deep Complex Extractors
Chiheb Trabelsi
Ousmane Dia
Ying Zhang
Mirco Ravanelli
Jonathan Binas
Negar Rostamzadeh
 and 
Christopher J Pal
pattern recognition
frequency domain
computer science
artificial intelligence
(venue unknown)
(2019-09-25)
openreview.netPDF
Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift
Azadeh Sadat Mozafari
Hugo Siqueira Gomes
 and 
temperature scaling
physics
calibration
algorithm
(venue unknown)
(2019-09-25)
openreview.net
Connectivity-constrained interactive annotations for panoptic segmentation
Ruobing Shen
Bo Tang
Ismail Ben Ayed
 and 
Thomas Guthier
segmentation
panopticon
computer vision
computer science
artificial intelligence
(venue unknown)
(2019-09-25)
openreview.netPDF
Beyond GANs: Transforming without a Target Distribution
Matthew Amodio
David van Dijk
Ruth Montgomery
 and 
Smita Krishnaswamy
target distribution
physics
algorithm
(venue unknown)
(2019-09-25)
openreview.netPDF
Variational inference of latent hierarchical dynamical systems in neuroscience: an application to calcium imaging data
Luke Y. Prince
 and 
inference
dynamical systems theory
computer science
calcium imaging
artificial intelligence
(venue unknown)
(2019-09-25)
openreview.netPDF
Novelty Search in representational space for sample efficient exploration
Ruo Yu Tao
Vincent François-Lavet
 and 
novelty
information retrieval
computer science
(venue unknown)
(2019-09-25)
openreview.netPDF
Assessing Generalization in TD methods for Deep Reinforcement Learning
Emmanuel Bengio
 and 
reinforcement learning
computer science
artificial intelligence
(venue unknown)
(2019-09-25)
openreview.netPDF
Transfer Active Learning For Graph Neural Networks
Shengding Hu
Meng Qu
Zhiyuan Liu
 and 
graph neural networks
computer science
artificial intelligence
active learning
(venue unknown)
(2019-09-25)
openreview.netPDF
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
Glen Berseth
 and 
reinforcement learning
psychology
imitation
cognitive psychology
(venue unknown)
(2019-09-25)
openreview.netPDF
Mem2Mem: Learning to Summarize Long Texts with Memory-to-Memory Transfer
Jaehong Park
Jonathan Pilault
 and 
computer science
cognitive science
(venue unknown)
(2019-09-25)
openreview.netPDF
CLAREL: classification via retrieval loss for zero-shot learning
Boris N. Oreshkin
Negar Rostamzadeh
Pedro O. Pinheiro
 and 
zero shot learning
computer vision
computer science
artificial intelligence
CVPR 2019
(2019-09-25)
openaccess.thecvf.comPDF
Selfish Emergent Communication
Michael Noukhovitch
Travis LaCroix
 and 
computer science
communication
(venue unknown)
(2019-09-25)
openreview.netPDF
SPECTRA: Sparse Entity-centric Transitions
Rim Assouel
 and 
spectral line
physics
pattern recognition
artificial intelligence
(venue unknown)
(2019-09-25)
openreview.netPDF
HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion
Michel Deudon
Alfredo Kalaitzis
Rifat Arefin
Israel Goytom
Zhichao Lin
Kris Sankaran
Vincent Michalski
Samira E Kahou
Julien Cornebise
 and 
superresolution
recursion
multi frame
fusion
computer science
algorithm
(venue unknown)
(2019-09-25)
openreview.netPDF
Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci.
Jonathan M. Mudge
Irwin Jungreis
Toby Hunt
Jose Manuel Gonzalez
James C. Wright
Mike Kay
Claire Davidson
Stephen Fitzgerald
Ruth Seal
Susan Tweedie
Liang He
Robert M. Waterhouse
Elspeth Bruford
Jyoti S. Choudhary
Adam Frankish
 and 
Manolis Kellis
pseudogene
locus
human genome
genome
genetics
gene
gencode
encode
computational biology
coding region
biology
Genome Research
(2019-09-19)
www.ncbi.nlm.nih.gov
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Anil Goyal
Emilie Morvant
 and 
Massih-Reza Amini
pattern recognition
multiview learning
mathematics
machine learning
boosting
artificial intelligence
Neurocomputing
(2019-09-17)
www.sciencedirect.com
Kotlin∇: A shape-safe DSL for differentiable programming
Breandan Considine
Michalis Famelis
 and 
mathematical optimization
kotlin
digital subscriber line
differentiable function
computer science
(venue unknown)
(2019-09-17)
openreview.netPDF
Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia.
Charles C. Onu
Jonathan Lebensold
 and 
transfer of learning
speech recognition
perinatal asphyxia
computer science
INTERSPEECH 2019
(2019-09-15)
dblp.uni-trier.de
Learning Speaker Representations with Mutual Information.
Mirco Ravanelli
 and 
speech recognition
mutual information
computer science
INTERSPEECH 2019
(2019-09-15)
dblp.uni-trier.dePDF
Speech Model Pre-training for End-to-End Spoken Language Understanding
Loren Lugosch
Mirco Ravanelli
Patrick Ignoto
Vikrant Singh Tomar
 and 
spoken language
speech recognition
speech model
end to end principle
computer science
INTERSPEECH 2019
(2019-09-15)
ui.adsabs.harvard.eduPDF
Retrieving Signals with Deep Complex Extractors
Chiheb Trabelsi
Ousmane Dia
Ying Zhang
Mirco Ravanelli
Jonathan Binas
Negar Rostamzadeh
 and 
pattern recognition
computer science
artificial intelligence
(venue unknown)
(2019-09-14)
openreview.netPDF
Modelling Working Memory using Deep Recurrent Reinforcement Learning
Pravish Sainath
Pierre Bellec
 and 
working memory
reinforcement learning
computer science
cognitive psychology
(venue unknown)
(2019-09-11)
openreview.net
Inferring hierarchies of latent features in calcium imaging data
Luke Y. Prince
 and 
pattern recognition
computer science
calcium imaging
artificial intelligence
(venue unknown)
(2019-09-11)
openreview.netPDF
Fairness and discrimination in recommendation and retrieval
Michael D Ekstrand
Robin Burke
 and 
social effects
recommender system
ranking
machine learning
information retrieval
information access
computer science
artificial intelligence
RECSYS 2019
(2019-09-10)
dl.acm.orgPDF
Geometric wavelet scattering on graphs and manifolds
Feng Gao
Matthew Hirn
Michael Perlmutter
 and 
wavelet
scattering
pure mathematics
manifold
graph
computer science
Wavelets and Sparsity XVIII
(2019-09-09)
dx.doi.org
Learning of Image Dehazing Models for Segmentation Tasks
Sebastien de Blois
Ihsen Hedhli
 and 
segmentation
perception
image segmentation
ground truth
distance measures
discriminator
computer vision
computer science
artificial intelligence
EUSIPCO 2019
(2019-09-01)
dblp.uni-trier.dePDF
Toward Requirements Specification for Machine-Learned Components
Mona Rahimi
Sahar Kokaly
 and 
Marsha Chechik
training set
software requirements specification
software engineering
requirements engineering
position paper
pedestrian detection
pedestrian
life critical system
current practice
computer science
2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)
(2019-09-01)
doi.org
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
Nikos Komodakis
Matthew Blaschko
 and 
Eugene Belilovsky
wavelet transform
unsupervised learning
supervised learning
scattering
residual
pattern recognition
grayscale
feature learning
convolutional neural network
computer science
artificial intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2019-09-01)
europepmc.orgPDF

2019-08

Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection
David MacĂȘdo
Tsang Ing Ren
Cleber Zanchettin
Adriano L. I. Oliveira
 and 
Teresa Ludermir
turnkey
softmax function
scalability
outlier
maximization
mahalanobis distance
machine learning
computer science
bayesian probability
artificial neural network
artificial intelligence
(venue unknown)
(2019-08-15)
export.arxiv.orgPDF
Medical concept embedding with multiple ontological representations
Lihong Song
Chin Wang Cheong
Kejing Yin
William K. Cheung
 and 
Jonathan Poon
predictive analytics
ontology
medical knowledge
machine learning
health care
feature learning
embedding
electronic health record
deep learning
data science
computer science
artificial intelligence
IJCAI 2019
(2019-08-10)
www.ijcai.org
A thousand studies for the price of one: Accelerating psychological science with Pushkin.
Joshua K. Hartshorne
Joshua R. de Leeuw
Noah D. Goodman
Mariela Jennings
 and 
transformative learning
the internet
software
population
mobile device
internet access
econometrics
data security
data science
computer science
citizen science
Behavior Research Methods
(2019-08-01)
link.springer.comPDF
Leaking your engine speed by spectrum analysis of real-Time scheduling sequences
Songran Liu
Nan Guan
Dong Ji
Weichen Liu
 and 
Wang Yi
tracing
spectrum analysis
scheduling
real time computing
information leakage
engine control unit
computer science
Journal of Systems Architecture
(2019-08-01)
www.sciencedirect.com
Deep Active Localization
Sai Krishna Gottipati
Keehong Seo
Dhaivat Bhatt
Vincent Mai
Krishna Murthy
 and 
robustness
robotics
robot control
robot
reinforcement learning
engineering
deep learning
convolutional neural network
control engineering
artificial intelligence
action selection
ICRA 2019
(2019-08-01)
ieeexplore.ieee.org
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
Felipe Petroski Such
Vashisht Madhavan
Rosanne Liu
Rui Wang
Pablo Samuel Castro
Yulun Li
Jiale Zhi
Ludwig Schubert
Jeff Clune
 and 
Joel Lehman
reinforcement learning
machine learning
computer science
artificial intelligence
IJCAI 2019
(2019-08-01)
www.ijcai.orgPDF
Expressiveness of probabilistic modal logics: A gradual approach
Florence Clerc
Nathanaël Fijalkow
Bartek Klin
 and 
theoretical computer science
probabilistic simulation
probabilistic logic
probabilistic bisimulation
modal
mathematics
mathematical proof
markov process
expressivity
discrete mathematics
bisimulation
Information & Computation
(2019-08-01)
www.sciencedirect.com
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
Cheng Yang
Maosong Sun
Ganqu Cui
 and 
Zhiyuan Liu
machine learning
computer science
artificial intelligence
IJCAI 2019
(2019-08-01)
doi.org
Interpolation Consistency Training for Semi-supervised Learning
Vikas Verma
Alex Lamb
Juho Kannala
 and 
David Lopez-Paz
semi supervised learning
machine learning
interpolation
computer science
artificial intelligence
IJCAI 2019
(2019-08-01)
doi.orgPDF

2019-07

Morphological Irregularity Correlates with Frequency
Shijie Wu
Ryan Cotterell
 and 
natural language processing
computer science
artificial intelligence
ACL 2019
(2019-07-28)
www.acl2019.org
Towards Lossless Encoding of Sentences
Gabriele Prato
Mathieu Duchesneau
 and 
natural language processing
lossless compression
encoding
computer science
artificial intelligence
ACL 2019
(2019-07-28)
www.acl2019.org
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami
Paul Trichelair
Adam Trischler
Kaheer Suleman
Hannes Schulz
 and 
natural language processing
coreference
computer science
artificial intelligence
ACL 2019
(2019-07-28)
www.acl2019.orgPDF
A Cross-Domain Transferable Neural Coherence Model
Peng Xu
Hamidreza Saghir
Jin Sung Kang
Teng Long
Avishek Joey Bose
Yanshuai Cao
 and 
natural language processing
computer science
coherence
artificial intelligence
ACL 2019
(2019-07-28)
www.acl2019.orgPDF
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong
Zichao Li
Mehdi Rezagholizadeh
 and 
sentence
programmer
natural language processing
interpreter
computer science
artificial intelligence
ACL 2019
(2019-07-28)
www.acl2019.org
On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault
Jaehong Park
 and 
natural language processing
encoder
computer science
automatic summarization
artificial intelligence
ACL 2019
(2019-07-28)
www.acl2019.org
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar
Sandeep Subramanian
 and 
natural language processing
empirical research
dialog box
conversation
computer science
artificial intelligence
ACL 2019
(2019-07-28)
www.acl2019.orgPDF
Subspace neural physics: fast data-driven interactive simulation
Daniel Holden
Bang Chi Duong
Sayantan Datta
 and 
verlet integration
subspace topology
rendering
precomputation
memory footprint
dynamical simulation
computer engineering
collision detection
artificial neural network
SCA 2019
(2019-07-26)
dblp.uni-trier.de
Hierarchical Gating Networks for Sequential Recommendation
Chen Ma
Peng Kang
 and 
still face
recommender system
ranking
machine learning
gating
computer science
business process reengineering
bayesian probability
artificial intelligence
KDD 2019
(2019-07-25)
dl.acm.org
Session details: Session 3A: Recommendations 1
information retrieval
computer science
SIGIR 2019
(2019-07-18)
dl.acm.org
Fairness and Discrimination in Retrieval and Recommendation
Michael D. Ekstrand
Robin Burke
 and 
social effects
ranking
information retrieval
computer science
SIGIR 2019
(2019-07-18)
doi.org
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun
Pan Du
Zhi-Hong Deng
 and 
Jian-Yun Nie
word graph
ranking
pointer
natural language processing
information retrieval
graph
document summarization
decoding methods
computer science
benchmark data
artificial neural network
artificial intelligence
SIGIR 2019
(2019-07-18)
sigir.orgPDF
Learning Options with Interest Functions
Khimya Khetarpal
 and 
theoretical computer science
state space
machine learning
function approximation
computer science
artificial intelligence
architecture
abstraction
AAAI 2019
(2019-07-17)
www.aaai.org
Noisy Interactive Quantum Communication
Gilles Brassard
Ashwin Nayak
Dave Touchette
 and 
Falk Unger
theoretical computer science
quantum information science
quantum information
mathematics
discrete mathematics
communication complexity
channel
coding theory
SIAM Journal on Computing
(2019-07-16)
doi.org
Prediction of mRNA subcellular localization using deep recurrent neural networks.
Zichao Yan
Eric LĂ©cuyer
 and 
supplementary data
subcellular localization
regulation of gene expression
recurrent neural network
messenger rna
deep learning
data mining
computer science
computational biology
artificial neural network
artificial intelligence
Bioinformatics
(2019-07-15)
academic.oup.com
Large-scale mammalian genome rearrangements coincide with chromatin interactions.
Krister M Swenson
 and 
supplementary data
mammalian genome
genome
gene
evolutionary biology
data mining
computer science
chromosome conformation capture
chromosome
chromatin
breakpoint
Bioinformatics
(2019-07-15)
academic.oup.com
Hyperparameter optimization in black-box image processing using differentiable proxies
Ethan Tseng
Felix Yu
Yuting Yang
Fahim Mannan
Karl St. Arnaud
Jean-François Lalonde
 and 
Felix Heide
software
object detection
mathematics
image processing
hyperparameter optimization
hardware in the loop simulation
deep learning
convolutional neural network
computer vision
computer engineering
black box
artificial intelligence
ACM Transactions on Graphics
(2019-07-12)
collaborate.princeton.edu
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu
Carlos Castillo
 and 
Emre Kiciman
user generated content
sociology
social media
social issues
public relations
public policy
health care
Social Science Research Network
(2019-07-11)
www.frontiersin.orgPDF
B-IoT: Blockchain Driven Internet of Things with Credit-Based Consensus Mechanism
Junqin Huang
Linghe Kong
Guihai Chen
Long Cheng
Kaishun Wu
 and 
throughput
psychological resilience
internet of things
directed acyclic graph
database transaction
confidentiality
computer science
computer network
blockchain
access control
ICDCS 2019
(2019-07-07)
ieeexplore.ieee.org
Scalable Virtual Ray Lights Rendering for Participating Media
Nicolas Vibert
Adrien Gruson
Heine Stokholm
Troels Mortensen
Wojciech Jarosz
Toshiya Hachisuka
 and 
scalability
rendering
computer vision
computer science
computer graphics images
artificial intelligence
Computer Graphics Forum
(2019-07-01)
diglib.eg.org
Smoother: A Smooth Renewable Power-Aware Middleware
Xinxin Liu
Yu Hua
Ling Yang
 and 
Yuanyuan Sun
source code
smoothing
renewable energy
minimum variance unbiased estimator
middleware
intermittency
execution time
electricity
distributed computing
computer science
ICDCS 2019
(2019-07-01)
dblp.uni-trier.de

2019-06

A Cross-National Study of Consumer Behaviour, Innovativeness and Apparel
Osmud Rahman
Zhimin Chen
 and 
Devender Devender Kharb
salient
emerging markets
cross national
country of origin
consumer behaviour
clothing
china
business
brand names
advertising
(venue unknown)
(2019-06-22)
e-space.mmu.ac.uk
Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
non convex optimization
information representation
feature learning
deep neural networks
deep learning
computer science
auto encoders
artificial neural network
artificial intelligence
(venue unknown)
(2019-06-19)
papyrus.bib.umontreal.ca
Applications of complex numbers to deep neural networks
deep neural networks
deep learning
computer science
complex number
artificial neural network
artificial intelligence
(venue unknown)
(2019-06-19)
papyrus.bib.umontreal.ca
Volume Path Guiding Based on Zero-Variance Random Walk Theory
Sebastian Herholz
Yangyang Zhao
Oskar Elek
Hendrik P. A. Lensch
 and 
Jaroslav Kƙivánek
scattering
sampling
roulette
random walk
radiance
monte carlo method
mathematics
mathematical optimization
importance sampling
distance sampling
ACM Transactions on Graphics
(2019-06-15)
dl.acm.org
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran
Nicolas Loizou
Nicolas Ballas
 and 
machine learning
deep learning
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Amortized Monte Carlo Integration
Adam Golinski
 and 
Tom Rainforth
monte carlo integration
machine learning
computer science
computational science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward Smith
Adriana Romero
Scott Fujimoto
 and 
pattern recognition
graph
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
 and 
Doina Precup
reinforcement learning
machine learning
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Fairwashing: the risk of rationalization
Ulrich Aivodji
Hiromi Arai
Olivier Fortineau
SĂ©bastien Gambs
Satoshi Hara
 and 
rationalization
machine learning
knowledge management
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
The Value Function Polytope in Reinforcement Learning
Robert Dadashi
Adrien Ali Taiga
Nicolas Le Roux
 and 
Dale Schuurmans
reinforcement learning
polytope
machine learning
computer science
bellman equation
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland
Robert Dadashi
Saurabh Kumar
Remi Munos
 and 
Will Dabney
reinforcement learning
machine learning
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
DeepMDP: Learning Continuous Latent Space Models with Theoretical Guarantees
Carles Gelada
Saurabh Kumar
Jacob Buckman
Ofir Nachum
 and 
machine learning
computer science
artificial intelligence
ICML 2019
(2019-06-09)
icml.cc
On Learning Invariant Representation for Domain Adaptation
Han Zhao
Remi Tachet des Combes
Kun Zhang
 and 
speech recognition
pattern recognition
invariant
domain adaptation
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Compositional Invariance Constraints for Graph Embeddings
Avishek Bose
 and 
theoretical computer science
pattern recognition
invariant
graph
computer science
artificial intelligence
ICML 2019
(2019-06-09)
icml.cc
Per-Decision Option Discounting
Anna Harutyunyan
Peter Vrancx
Philippe Hamel
Ann Nowe
 and 
machine learning
discounting
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Separable value functions across time-scales
Joshua Romoff
Peter Henderson
Ahmed Touati
Yann Ollivier
 and 
Emma Brunskill
separable space
pattern recognition
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
TarMAC: Targeted Multi-Agent Communication
Abhishek Das
Theophile Gervet
Joshua Romoff
Dhruv Batra
Devi Parikh
 and 
tarmac
machine learning
human computer interaction
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque
Joao Monteiro
Thang Doan
Breandan Considine
Tiago Falk
 and 
machine learning
generative grammar
computer science
artificial intelligence
adversarial system
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Unreproducible research is reproducible
Xavier Bouthillier
CĂ©sar Laurent
 and 
machine learning
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang
Kris Sankaran
Eeshan Dhekane
Alexandre Lacoste
 and 
pattern recognition
machine learning
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb
Jonathan Binas
Anirudh Goyal
Sandeep Subramanian
 and 
Michael Mozer
reification
machine learning
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
GMNN: Graph Markov Neural Networks
Meng Qu
 and 
markov chain
machine learning
graph
computer science
artificial neural network
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma
Alex Lamb
Christopher Beckham
Amir Najafi
David Lopez-Paz
 and 
pattern recognition
manifold
interpolation
computer science
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
On the Spectral Bias of Neural Networks
Nasim Rahaman
Aristide Baratin
Devansh Arpit
Felix Draxler
Min Lin
Fred Hamprecht
 and 
pattern recognition
computer science
artificial neural network
artificial intelligence
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF
Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems
Pierre Coste
 and 
Gilles Pesant
travelling salesman problem
mathematical optimization
filter
constraint programming
computer science
CPAIOR 2019
(2019-06-04)
doi.org
Learning MILP Resolution Outcomes Before Reaching Time-Limit
Martina Fischetti
 and 
Giulia Zarpellon
time limit
statistical pattern
mathematical optimization
linear programming
exploit
computer science
computation
branch and bound
CPAIOR 2019
(2019-06-04)
doi.org
Understanding the Behaviour of Neural Abstractive Summarizers Using Contrastive Examples
Krtin Kumar
 and 
natural language processing
computer science
artificial intelligence
NAACL 2019
(2019-06-02)
naacl2019.org
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou
Carlos Lassance
Ghouthi Boukli Hacene
Vincent Gripon
 and 
smoothness
robustness
graph
deep learning
computer science
artificial intelligence
architecture
algorithm
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
hal.archives-ouvertes.frPDF
Improved Bounds for Max Consensus in Wireless Networks
Aida Nowzari
 and 
wireless network
upper and lower bounds
random geometric graph
mathematics
lattice graph
discrete mathematics
convergence
consensus
binary logarithm
approximation algorithm
SIPN 2019
(2019-06-01)
ieeexplore.ieee.org
A Frequency Analysis and Dual Hierarchy for Efficient Rendering of Subsurface Scattering
David Milaenen
Laurent Belcour
Jean-Philippe Guertin
Toshiya Hachisuka
 and 
traverse
subsurface scattering
sparse image
rendering
ray tracing
radiance
pixel
frequency analysis
computer vision
computer science
artificial intelligence
GI 2019
(2019-06-01)
dl.acm.org
GreenBroker: Optimal Electric Vehicle Park-and-Charge Control via Vehicle-to-Infrastructure Communication
Qiao Xiang
Linghe Kong
Xi Chen
Zhe Wang
Lei Rao
 and 
stochastic optimization
smart grid
revenue
market share
management system
electricity
electric vehicle
computer science
charge control
automotive engineering
BLACKSEACOM 2019
(2019-06-01)
dblp.uni-trier.de
Tulip: An open-source interior-point linear optimization solver with abstract linear algebra
Miguel F. Anjos
 and 
Mathieu Tanneau
solver
open source
mathematics
linear programming
linear algebra
interior point method
applied mathematics
Les Cahiers du GERAD
(2019-06-01)
www.gerad.ca
QPLIB: a library of quadratic programming instances
Fabio Furini
Emiliano Traversi
Pietro Belotti
Antonio Frangioni
Ambros M. Gleixner
Nick Gould
Leo Liberti
Ruth Misener
Hans D. Mittelmann
Nikolaos V. Sahinidis
Stefan Vigerske
 and 
Angelika Wiegele
undecidable problem
theory of computation
ranging
quadratic programming
quadratic equation
optimization problem
mathematics
mathematical optimization
binary quadratic programming
algebra
Mathematical Programming Computation
(2019-06-01)
mpc.zib.dePDF
An empirical study on aggregation of alternatives and its influence on prediction in car type choice models
Shiva Habibi
 and 
Marcus Sundberg
statistics
policy analysis
parameterized complexity
operations management
nested logit
empirical research
economics
econometrics
discrete choice
data aggregator
cross validation
aggregation methods
Transportation
(2019-06-01)
link.springer.comPDF

2019-05

Adverse Event Prediction by Telemonitoring and Deep Learning
Antoine Prouvost
Louis-Martin Rousseau
 and 
Jonathan Vallee
risk threshold
risk assessment
recurrent neural network
ranking
medical emergency
health care
deep learning
computer science
care workers
artificial intelligence
adverse effect
International Conference on Human-Centred Software Engineering
(2019-05-30)
www.scilit.net
Investigating Trust Factors in Human-Robot Shared Control: Implicit Gender Bias Around Robot Voice
Alex Wong
Anqi Xu
 and 
task analysis
robot control
robot
introspection
human robot interaction
human computer interaction
empirical research
controller
computer vision
computer science
audio feedback
artificial intelligence
CRV 2019
(2019-05-29)
doi.org
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.
Dayiheng Liu
Jie Fu
Yidan Zhang
 and 
Jiancheng Lv
programming language
computer science
(venue unknown)
(2019-05-29)
dblp.uni-trier.de
Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning
Junqiang Liu
Xinyi Ju
Xingxing Zhang
Xiangcai Yang
 and 
Changhong Yu
task analysis
scalable algorithms
scalability
pruning
distributed computing
data structure
data mining
computer science
IEEE Access
(2019-05-28)
doi.org
Activity-based analysis of open source software contributors: roles and dynamics
Jinghui Cheng
 and 
user interface
through the lens metering
systems engineering
open source software
data science
computer science
ICSE 2019
(2019-05-27)
ui.adsabs.harvard.eduPDF
Singular value automata and approximate minimization
Borja Balle
 and 
spectral theory
singular value decomposition
singular value
singular solution
pure mathematics
minification
matrix
mathematics
hankel matrix
discrete mathematics
canonical form
Mathematical Structures in Computer Science
(2019-05-27)
ui.adsabs.harvard.eduPDF
Bit-Slicing FPGA Accelerator for Quantized Neural Networks
Sean Wagner
Yvon Savaria
 and 
Jean-Pierre David
system on a chip
stratix
quantized neural networks
field programmable gate array
exploit
electronic engineering
data set
computer science
computer hardware
bit slicing
artificial neural network
ISCAS 2019
(2019-05-26)
doi.org
Analysis and detection of information types of open source software issue discussions
Deeksha Arya
Wenting Wang
 and 
Jinghui Cheng
tracking system
thread
systems engineering
software
sentence length
sentence
relevant information
random forest
open source software
data science
computer science
ICSE 2019
(2019-05-25)
dblp.uni-trier.de
Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields.
Nagesh K. Subbanna
Deepthi Rajashekar
Bastian Cheng
Götz Thomalla
Jens Fiehler
 and 
Nils D. Forkert
sorensen dice coefficient
segmentation
preprocessor
pattern recognition
neuroscience
medicine
markov random field
magnetic resonance imaging
image segmentation
fluid attenuated inversion recovery
convolutional neural network
artificial intelligence
Frontiers in Neurology
(2019-05-24)
www.frontiersin.org
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada
Saurabh Kumar
Jacob Buckman
Ofir Nachum
 and 
machine learning
feature learning
computer science
artificial intelligence
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose
 and 
theoretical computer science
machine learning
graph
computer science
artificial intelligence
ICML 2019
(2019-05-24)
proceedings.mlr.pressPDF
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
Adrian Tousignant
Paul LemaĂźtre
Douglas L. Arnold
 and 
oncology
multiple sclerosis
medicine
internal medicine
disease progression
deep learning
artificial intelligence
International Conference on Medical Imaging with Deep Learning
(2019-05-24)
proceedings.mlr.pressPDF
Fast non-uniform radiance probe placement and tracing
Yue Wang
Soufiane Khiat
Paul G. Kry
 and 
visibility
undersampling
tracing
sparse voxel octree
ray tracing
light field
gradient descent
global illumination
computer vision
computer science
artificial intelligence
I3D 2019
(2019-05-21)
doi.org
Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization
Steven H. H. Ding
 and 
Philippe Charland
theoretical computer science
reverse engineering
optimizing compiler
obfuscation
obfuscation
feature vector
feature learning
feature engineering
computer security
computer science
assembly language
S&P 2019
(2019-05-20)
www.computer.org
In Support of Over-Parametrization in Deep Reinforcement Learning: an Empirical Study
Brady Neal
 and 
reinforcement learning
parametrization
empirical research
computer science
artificial intelligence
(venue unknown)
(2019-05-17)
openreview.net
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu
Shizhen Xu
 and 
Meng Qu
synchronization
scalability
parallel computing
hybrid system
graphics processing unit
graph theory
embedding
data transmission
data mining
computer science
central processing unit
WWW 2019
(2019-05-13)
hgpu.orgPDF
Provably Accelerated Randomized Gossip Algorithms
Nicolas Loizou
 and 
Peter Richtarik
wireless sensor network
theoretical computer science
private information retrieval
mathematical optimization
linear system
kaczmarz method
gossip protocol
gossip algorithms
gossip
computer science
average consensus
ICASSP 2019
(2019-05-12)
ieeexplore.ieee.orgPDF
How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages
Jessica A.F. Thompson
Marc Schonwiesner
 and 
Daniel Willett
transferability
transfer of learning
top down and bottom up design
speech recognition
pattern recognition
more language
interpretability
german
convolutional neural network
computer science
artificial intelligence
ICASSP 2019
(2019-05-12)
ieeexplore.ieee.org
Representation Mixing for TTS Synthesis
Kyle Kastner
Joao Felipe Santos
 and 
speech recognition
spectrogram
rule based machine translation
pronunciation
pattern recognition
parametric statistics
inference
encoder
deep learning
decoding methods
computer science
artificial intelligence
ICASSP 2019
(2019-05-12)
doi.orgPDF
The Pytorch-kaldi Speech Recognition Toolkit
Mirco Ravanelli
Titouan Parcollet
 and 
speech recognition
software
python language
exploit
documentation
deep learning
computer science
artificial neural network
artificial intelligence
ICASSP 2019
(2019-05-12)
hal.archives-ouvertes.frPDF
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Alaaeldin El-Nouby
Shikhar Sharma
Hannes Schulz
Layla El Asri
Samira Ebrahimi Kahou
 and 
Graham Taylor
visualization
task analysis
single image
linguistics
image generation
computer science
ICCV 2019
(2019-05-09)
openaccess.thecvf.comPDF
Deep Generative and Discriminative Domain Adaptation
Han Zhao
Junjie Hu
Zhenyao Zhu
Adam Coates
 and 
upper and lower bounds
machine learning
generative grammar
domain adaptation
discriminative model
deep learning
computer science
autoencoder
artificial neural network
artificial intelligence
adversarial machine learning
AAMAS 2019
(2019-05-08)
dl.acm.org
Building Knowledge for AI Agents with Reinforcement Learning
reinforcement learning
procedural knowledge
machine learning
knowledge representation and reasoning
human computer interaction
continual learning
computer science
autonomous agent
artificial intelligence
AAMAS 2019
(2019-05-08)
dblp.uni-trier.de
On the Pitfalls of Measuring Emergent Communication
Ryan Lowe
Jakob Foerster
Y-Lan Boureau
 and 
Yann Dauphin
reinforcement learning
phenomenon
matrix games
machine learning
human computer interaction
fault detection and isolation
deep learning
computer science
channel
artificial intelligence
AAMAS 2019
(2019-05-08)
dblp.uni-trier.de
Learning Graphs From Data: A Signal Representation Perspective
Xiaowen Dong
Dorina Thanou
 and 
Pascal Frossard
visualization
viewpoints
topological graph theory
theoretical computer science
signal processing
graphical model
data set
data modeling
data model
computer science
IEEE Signal Processing Magazine
(2019-05-06)
doi.orgPDF
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu
Michael Tao
Chun-Liang Li
 and 
Alec Jacobson
rendering
pixel
pattern recognition
parametric statistics
differentiable function
computer science
ball
artificial intelligence
algorithm
ICLR 2019
(2019-05-06)
iclr.ccPDF
Representation Learning on Graphs and Manifolds
Frederic Sala
Peter Battaglia
Joan Bruna
Thomas Kipf
Yujia Li
Razvan Pascanu
Adriana Romero
Petar Veličković
Marinka Zitnik
Maximilian Nickel
Beliz Gunel
Albert Gu
 and 
Christopher Re
theoretical computer science
manifold
machine learning
graph
feature learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.cc
Task-Agnostic Reinforcement Learning (TARL)
Danijar Hafner
Deepak Pathak
Frederik Ebert
Raia Hadsell
Rowan McAllister
Amy Zhang
Ahmed Touati
 and 
Roberto Calandra
reinforcement learning
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.cc
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun
Zhi-Hong Deng
Jian-Yun Nie
 and 
theoretical computer science
rotation
pattern recognition
knowledge graph
embedding
computer science
complex space
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel
Hugo Berard
Gaëtan Vignoud
 and 
variational inequality
machine learning
generative grammar
computer science
artificial intelligence
adversarial system
ICLR 2019
(2019-05-06)
iclr.ccPDF
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen
Shawn Tan
Alessandro Sordoni
 and 
tree structure
recurrent neural network
computer science
artificial intelligence
(venue unknown)
(2019-05-06)
www.microsoft.com
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau
Shikhar Murty
Mikhail Noukhovitch
Thien H Nguyen
Harm de Vries
 and 
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen
Shawn Tan
Alessandro Sordoni
 and 
tree structure
recurrent neural network
pattern recognition
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Reproducibility in Machine Learning
Nan Rosemary Ke
Alex Lamb
Anirudh Goyal Alias Parth Goyal
 and 
reproducibility
pattern recognition
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.cc
h-detach: Modifying the LSTM Gradient Towards Better Optimization
Bhargav Kanuparthi
Devansh Arpit
Giancarlo Kerg
Nan Rosemary Ke
 and 
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Modeling the Long Term Future in Model-Based Reinforcement Learning
Nan Rosemary Ke
Amanpreet Singh
Ahmed Touati
Anirudh Goyal Alias Parth Goyal
Devi Parikh
 and 
Dhruv Batra
reinforcement learning
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Quaternion Recurrent Neural Networks
Titouan Parcollet
Mirco Ravanellu
Mohamed Morchid
Georges LinarÚs
Chiheb Trabelsi
Renato De Mori
 and 
recurrent neural network
quaternion
pattern recognition
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche
Valentin Thomas
Cyril Ibrahim
 and 
sequential monte carlo methods
probabilistic logic
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
AI for Social Good
Margaux Luck
Joseph Paul Cohen
Myriam Cote
Kris Sankaran
Sean McGregor
Virgile Sylvain
Jonnie Penn
Tristan Sylvain
GeneviÚve Boucher
Rayid Ghani
 and 
Kentaro Toyama
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.cc
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal Alias Parth Goyal
Riashat Islam
DJ Strouse
Zafarali Ahmed
Matthew Botvinick
Sergey Levine
 and 
machine learning
information bottleneck method
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal Alias Parth Goyal
Philemon Brakel
William Fedus
Soumye Singhal
Timothy Lillicrap
Sergey Levine
 and 
reinforcement learning
recall
machine learning
computer science
backtracking
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
Ali Farshchian
Juan Álvaro Gallego
Joseph Paul Cohen
Lee E Miller
 and 
Sara A Solla
machine learning
domain adaptation
computer science
artificial intelligence
adversarial system
ICLR 2019
(2019-05-06)
iclr.ccPDF
BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Salem Lahlou
Lucas Willems
Chitwan Saharia
Thien H Nguyen
 and 
machine learning
language acquisition
human computer interaction
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Stanislaw Jastrzebski
Zachary Kenton
Nicolas Ballas
Asja Fischer
 and 
Amos Storkey
stride length
pattern recognition
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Remi Combes
Adam Trischler
 and 
neural network learning
machine learning
forgetting
empirical research
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Deep Graph Infomax
Petar Veličković
William Fedus
Pietro LiĂČ
 and 
pattern recognition
infomax
graph
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
Learning deep representations by mutual information estimation and maximization
Alex Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Philip Bachman
Adam Trischler
 and 
mutual information
maximization
machine learning
computer science
artificial intelligence
ICLR 2019
(2019-05-06)
iclr.ccPDF
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Vincent Francois-Lavet
Damien Ernst
 and 
Raphael Fonteneau
reinforcement learning
partially observable markov decision process
overfitting
observability
mathematics
machine learning
artificial intelligence
Journal of Artificial Intelligence Research
(2019-05-05)
doi.orgPDF
Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study
Wenting Wang
Jinghui Cheng
 and 
virtual reality
user feedback
usability
through the lens metering
open source
multimedia
human computer interaction
heuristics
heuristic evaluation
computer science
CHI 2019
(2019-05-02)
dblp.uni-trier.dePDF
A Survey on Gradient-Domain Rendering
Binh-Son Hua
Adrien Gruson
Victor Petitjean
Matthias Zwicker
Elmar Eisemann
 and 
Toshiya Hachisuka
rendering
ray tracing
path tracing
open problem
monte carlo method
iterative reconstruction
convergence
computer vision
computer science
artificial intelligence
animation
algorithm
Computer Graphics Forum
(2019-05-01)
diglib.eg.org
Underwater Communication Using Full-Body Gestures and Optimal Variable-Length Prefix Codes
Karim Koreitem
Jimmy Li
Ian Karp
Travis Manderson
 and 
underwater acoustic communication
robustness
robot
real time computing
observability
gesture
engineering
encoding
decoding methods
control engineering