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2021-05
Learning a Universal Template for Few-shot Dataset Generalization.
Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training
Dependency Structure Discovery from Interventions
Uniform Priors for Data-Efficient Transfer
A Universal Representation Transformer Layer for Few-Shot Image Classification
2021-04
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.
2021-03
Interpretable Multi-Modal Hate Speech Detection.
2021-02
Self-Supervised Equivariant Scene Synthesis from Video
2020-11
An Effective Anti-Aliasing Approach for Residual Networks.
Learned Equivariant Rendering without Transformation Supervision.
2020-07
Revisiting Fundamentals of Experience Replay
Small-GAN: Speeding up GAN Training using Core-Sets
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
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction.
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
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
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
Few-Shot Learning
Curriculum By Smoothing
Learning Graph Structure With A Finite-State Automaton Layer
2019-09
Are Few-shot Learning Benchmarks Too Simple ?
2019-03
A RAD approach to deep mixture models
2019-02
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time
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
InfoBot: Transfer and Exploration via the Information Bottleneck
2018-11
Blindfold Baselines for Embodied QA.
2018-09
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.
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