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ICLR 2020 — accepted papers

ICLR 2020 is the 2020 edition of the International Conference on Learning Representations (ICLR). OpenAlex lists 150 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

 150papers in the proceedings 1work in our library 159citations of these works

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. Improving Adversarial Robustness Requires Revisiting Misclassified Examples ↗Yisen Wang, Difan Zou, Jinfeng Yi et al.267 citations
  2. VL-BERT: Pre-training of Generic Visual-Linguistic Representations ↗Weijie Su, Xizhou Zhu, Yue Cao et al.252 citations
  3. DBA: Distributed Backdoor Attacks against Federated Learning ↗Chulin Xie, Keli Huang, Pin‐Yu Chen et al.244 citations
  4. On the Convergence of FedAvg on Non-IID Data ↗Xiang Li, Kaixuan Huang, Wenhao Yang et al.235 citations
  5. AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty ↗Dan Hendrycks, Norman Mu, Ekin D. Cubuk et al.168 citations
  6. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ↗Divyansh Kaushik, Eduard H. Hovy, Zachary C. Lipton168 citations
  7. Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring ↗Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux et al.155 citations
  8. A Learning-based Iterative Method for Solving Vehicle Routing Problems ↗Lu Hao, Xingwen Zhang, Shuang Yang120 citations
  9. Fair Resource Allocation in Federated Learning ↗Tian Li, Maziar Sanjabi, Ahmad Beirami et al.120 citations
  10. Implementation Matters in Deep RL: A Case Study on PPO and TRPO ↗Logan Engstrom, Andrew Ilyas, Shibani Santurkar et al.112 citations

All accepted papers (150)

The most cited first; 1 with our summary link to their page here, the others to the original.

  1. Improving Adversarial Robustness Requires Revisiting Misclassified Examples ↗Yisen Wang, Difan Zou, Jinfeng Yi et al.267 citations
  2. VL-BERT: Pre-training of Generic Visual-Linguistic Representations ↗Weijie Su, Xizhou Zhu, Yue Cao et al.252 citations
  3. DBA: Distributed Backdoor Attacks against Federated Learning ↗Chulin Xie, Keli Huang, Pin‐Yu Chen et al.244 citations
  4. On the Convergence of FedAvg on Non-IID Data ↗Xiang Li, Kaixuan Huang, Wenhao Yang et al.235 citations
  5. AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty ↗Dan Hendrycks, Norman Mu, Ekin D. Cubuk et al.168 citations
  6. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ↗Divyansh Kaushik, Eduard H. Hovy, Zachary C. Lipton168 citations
  7. Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring ↗Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux et al.155 citations
  8. A Learning-based Iterative Method for Solving Vehicle Routing Problems ↗Lu Hao, Xingwen Zhang, Shuang Yang120 citations
  9. Fair Resource Allocation in Federated Learning ↗Tian Li, Maziar Sanjabi, Ahmad Beirami et al.120 citations
  10. Implementation Matters in Deep RL: A Case Study on PPO and TRPO ↗Logan Engstrom, Andrew Ilyas, Shibani Santurkar et al.112 citations
  11. Neural Text Generation With Unlikelihood Training ↗Sean Welleck, Ilia Kulikov, Stephen Roller et al.111 citations
  12. StructPool: Structured Graph Pooling via Conditional Random Fields ↗Hao Yuan, Shuiwang Ji102 citations
  13. Distributionally Robust Neural Networks ↗Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto et al.98 citations
  14. Global Relational Models of Source Code ↗Vincent Josua Hellendoorn, Charles A. Sutton, Rishabh Kumar Singh et al.93 citations
  15. Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention ↗Chen Zhao, Chenyan Xiong, Corby Rosset et al.93 citations
  16. Graph Neural Networks Exponentially Lose Expressive Power for Node Classification ↗Kenta Oono, Taiji Suzuki91 citations
  17. Language GANs Falling Short ↗Massimo Caccia, Lucas Caccia, W. Fedus et al.80 citations
  18. Model Based Reinforcement Learning for Atari ↗Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłoś et al.76 citations
  19. Fantastic Generalization Measures and Where to Find Them ↗Yiding Jiang, Behnam Neyshabur, Dilip Krishnan et al.75 citations
  20. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds ↗Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy et al.74 citations
  21. LEARNED STEP SIZE QUANTIZATION ↗Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani et al.74 citations
  22. Lagrangian Fluid Simulation with Continuous Convolutions ↗Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey et al.73 citations
  23. Neural Machine Translation with Universal Visual Representation ↗Zhuosheng Zhang, Kehai Chen, Rui Wang et al.73 citations
  24. Efficient and Information-Preserving Future Frame Prediction and Beyond ↗Wei Yu, Yichao Lu, Steve Easterbrook et al.67 citations
  25. From Variational to Deterministic Autoencoders ↗Partha Sarathi Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari et al.65 citations

See all 150 papers in ICLR 2020 — accepted papers →

 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

  1. Dataset Condensation with Gradient MatchingInternational Conference on Learning Representations (ICLR)Bo Zhao, Konda Reddy Mopuri, Hakan Bilen2020 · 159 citations

 Fields

Computer Science (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🧑‍🔬Bo Zhao1 work here · 159 citations🧑‍🔬Hakan Bilen1 work here · 159 citations

 Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of EdinburghEdinburgh · United Kingdom1 work here

works and citations from OpenAlex and our library.

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