Denis Yarats
15 papers · 2017–2022 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
π§¬
Topic Evolution
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β
The Questioner
ποΈ
Keyword Collector
(77)
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Prolific Year Β· Productive
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Reinforcement Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Learning Types Β· Deep Learning
(6)
Methods
(5)
Learning Types Β· Machine Learning
(4)
Natural Language Processing
(3)
Applications
(3)
Optimization & Theory
(3)
Application Areas
(2)
Core Methods
(2)
Generation
(2)
Models
(2)
Keywords
continuous control
(4)
reinforcement learning
(4)
data augmentation
(3)
machine translation
(2)
representation learning
(2)
latent representation
(2)
soft actor-critic
(2)
dialogue system
(2)
model-free reinforcement learning
(2)
imitation learning
(1)
attention mechanism
(1)
self-supervised learning
(1)
neural network training
(1)
optimal transport
(1)
structured prediction
(1)
sample efficiency
(1)
inverse reinforcement learning
(1)
neural network optimization
(1)
behavior cloning
(1)
domain generalization
(1)
Papers
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
ICLR 2022
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control
NeurIPS 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
CoRL 2022
Automatic Data Augmentation for Generalization in Reinforcement Learning
NeurIPS 2021
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
ICLR 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
AAAI 2021
On the Adequacy of Untuned Warmup for Adaptive Optimization
AAAI 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
L4DC 2021
Reinforcement Learning with Prototypical Representations
ICML 2021
The Differentiable Cross-Entropy Method
ICML 2020
Hierarchical Decision Making by Generating and Following Natural Language Instructions
NeurIPS 2019
Quasi-hyperbolic momentum and Adam for deep learning
ICLR 2019
Hierarchical Text Generation and Planning for Strategic Dialogue
ICML 2018
Convolutional Sequence to Sequence Learning
ICML 2017
Deal or No Deal? End-to-End Learning of Negotiation Dialogues
EMNLP 2017