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2020-10
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Predicting Infectiousness for Proactive Contact Tracing
Learning to Summarize Long Texts with Memory Compression and Transfer
Reinforcement Learning with Random Delays
2020-09
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Reinforcement Learning with Random Delays
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
2020-08
Action-Based Representation Learning for Autonomous Driving
Leveraging cluster backbones for improving MAP inference in statistical relational models
2020-07
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Robust motion in-betweening
ACM Transactions on Graphics
(2020-07-08)
dx.doi.org[LATEST on arXiv preprint arXiv:2102.04942 (2021-02-09)]Interactive Machine Comprehension with Information Seeking Agents
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
2020-06
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
CLAREL: classification via retrieval loss for zero-shot learning
2020-04
Reinforced active learning for image segmentation
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Role-Wise Data Augmentation for Knowledge Distillation
2020-02
Curriculum in Gradient-Based Meta-Reinforcement Learning.
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Exploring Structural Inductive Biases in Emergent Communication.
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
2019-12
Real-Time Reinforcement Learning
Neural Multisensory Scene Inference
On Adversarial Mixup Resynthesis
2019-11
Interactive Language Learning by Question Answering
IJCNLP 2019
(2019-11-03)
www.emnlp-ijcnlp2019.org[Also on arXiv preprint arXiv:1908.10909 (2019-08-28)]2019-10
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
2019-09
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
Mem2Mem: Learning to Summarize Long Texts with Memory-to-Memory Transfer
Retrieving Signals in the Frequency Domain with Deep Complex Extractors
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Towards Understanding Generalization in Gradient-Based Meta-Learning
Learning Neural Causal Models from Unknown Interventions.
Learning Sparse Mixture of Experts for Visual Question Answering
Retrieving Signals with Deep Complex Extractors
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
2019-07
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
On the impressive performance of randomly weighted encoders in summarization tasks
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
2019-06
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
2019-05
Fine-grained zero-shot recognition with metric rescaling.
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.
Structure Learning for Neural Module Networks.
2019-04
Active Domain Randomization.
2019-03
Dataflow-Based Joint Quantization for Deep Neural Networks
Towards Standardization of Data Licenses: The Montreal Data License
Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases
Adversarial Mixup Resynthesizers
On Adversarial Mixup Resynthesis
2019-01
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
The Liver Tumor Segmentation Benchmark (LiTS)
2018-12
Recurrent transition networks for character locomotion
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Towards Deep Conversational Recommendations
Towards Text Generation with Adversarially Learned Neural Outlines
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
Deep Learning recognizes weather and climate patterns
2018-11
A Survey of Mobile Computing for the Visually Impaired.
2018-10
Recurrent semi-supervised classification and constrained adversarial generation with motion capture data
2018-09
RNNs with Private and Shared Representations for Semi-Supervised Sequence Learning
Hiding Objects from Detectors: Exploring Transferrable Adversarial Patterns
Visualizing and Discovering Behavioural Weaknesses in Deep Reinforcement Learning
Visual Imitation Learning with Recurrent Siamese Networks.
2018-07
Focused Hierarchical RNNs for Conditional Sequence Processing
2018-06
Fashion-Gen: The Generative Fashion Dataset and Challenge
Improving Landmark Localization with Semi-Supervised Learning
Focused Hierarchical RNNs for Conditional Sequence Processing
2018-05
Convolutional networks for kidney segmentation in contrast-enhanced CT scans
Computer methods in biomechanics and biomedical engineering. Imaging & visualization
(2018-05-04)
doi.org2018-04
2018-02
Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
Twin Networks: Matching the Future for Sequence Generation
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Deep Complex Networks
Inferring Identity Factors for Grouped Examples
Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation
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