Back to directory 
2021-05
Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training
2021-03
Interpretable Multi-Modal Hate Speech Detection
2021-02
2020-11
An Effective Anti-Aliasing Approach for Residual Networks.
2020-10
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks.
2020-09
Dependency Structure Discovery from Interventions
2020-07
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time.
arXiv: Learning
(2020-07-27)
Revisiting Fundamentals of Experience Replay
Small-GAN: Speeding up GAN Training using Core-Sets
Learning Graph Structure With A Finite-State Automaton Layer.
2020-06
A Universal Representation Transformer Layer for Few-Shot Image Classification.
A Universal Representation Transformer Layer for Few-Shot Image Classification.
2020-04
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Language GANs Falling Short
sistemas e métodos para realizar otimização bayesiana
2020-03
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
On-the-Fly Adaptation of Source Code Models using Meta-Learning
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
DIBS: Diversity inducing Information Bottleneck in Model Ensembles.
Curriculum By Texture.
The Hanabi Challenge: A New Frontier for AI Research
2020-02
On Catastrophic Interference in Atari 2600 Games
2020-01
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
Learning Graph Structure With A Finite-State Automaton Layer
Curriculum By Smoothing
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
Few-Shot Learning
2019-11
2019-09
Are Few-shot Learning Benchmarks Too Simple ?
2019-05
2019-03
A RAD approach to deep mixture models
2019-02
Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification.
Hyperbolic Discounting and Learning over Multiple Horizons
2019-01
InfoBot: Transfer and Exploration via the Information Bottleneck
InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck
2018-11
Blindfold Baselines for Embodied QA.
2018-04
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
2018-02
Disentangling the independently controllable factors of variation by interacting with the world
2018-01
HoME: a Household Multimodal Environment.
Publications collected and formatted using Paperoni
