Denis Yarats

4.5k total citations · 1 hit paper
9 papers, 778 citations indexed

About

Denis Yarats is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Denis Yarats has authored 9 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Denis Yarats's work include Reinforcement Learning in Robotics (4 papers), Topic Modeling (2 papers) and Robotic Locomotion and Control (1 paper). Denis Yarats is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Topic Modeling (2 papers) and Robotic Locomotion and Control (1 paper). Denis Yarats collaborates with scholars based in Israel, United States and Switzerland. Denis Yarats's co-authors include Yann Dauphin, Jonas Gehring, David Grangier, Michael Auli, Jerry Ma, Rob Fergus, Ilya Kostrikov, Mike Lewis, Roberta Răileanu and Tianyu Li and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Denis Yarats

9 papers receiving 706 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional Sequence to Sequence Learning

2017 666 citations Jonas Gehring, Michael Auli et al. International Conference on Machine Learning profile →

Peers

Countries citing papers authored by Denis Yarats

Since Specialization

Citations

This map shows the geographic impact of Denis Yarats's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Denis Yarats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Yarats more than expected).

Fields of papers citing papers by Denis Yarats

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Yarats. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Denis Yarats. The network helps show where Denis Yarats may publish in the future.

Co-authorship network of co-authors of Denis Yarats

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Yarats. A scholar is included among the top collaborators of Denis Yarats based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denis Yarats. Denis Yarats is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Automatic Data Augmentation for Generalization in Reinforcement Learning 2021 ·arXiv (Cornell University) ·Roberta Răileanu, (unknown), Denis Yarats, Ilya Kostrikov, Rob Fergus	20
2	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels 2021 ·International Conference on Learning Representations ·Denis Yarats, Ilya Kostrikov, Rob Fergus	25
3	URLB: Unsupervised Reinforcement Learning Benchmark 2021 ·arXiv (Cornell University) ·Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, (unknown), Kevin Lü, (unknown), Lerrel Pinto, Pieter Abbeel	7
4	On the Adequacy of Untuned Warmup for Adaptive Optimization 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jerry Ma, Denis Yarats	18
5	Learning Navigation Skills for Legged Robots with Learned Robot Embeddings 2021 ·2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·(unknown), Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai	13
6	Hierarchical Decision Making by Generating and Following Natural Language Instructions 2019 ·arXiv (Cornell University) ·Hengyuan Hu, Denis Yarats, (unknown), Yuandong Tian, Mike Lewis	8
7	Quasi-hyperbolic momentum and Adam for deep learning 2018 ·arXiv (Cornell University) ·Jerry Ma, Denis Yarats	11
8	Hierarchical Text Generation and Planning for Strategic Dialogue 2018 ·International Conference on Machine Learning ·Denis Yarats, Mike Lewis	10
9	Convolutional Sequence to Sequence Learning breakdown → 2017 ·International Conference on Machine Learning ·Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann Dauphin	666

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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