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ICML 2021 — accepted papers

ICML 2021 is the 2021 edition of the International Conference on Machine Learning (ICML). OpenAlex lists 196 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

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

  1. SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks ↗Lingxiao Yang, Ru‐Yuan Zhang, Lida Li et al.638 citations
  2. HAWQ-V3: Dyadic Neural Network Quantization ↗Zhewei Yao, Zhen Dong, Zhangcheng Zheng et al.37 citations
  3. Representation Subspace Distance for Domain Adaptation Regression ↗Xinyang Chen, Sinan Wang, Jianmin Wang et al.29 citations
  4. Ditto: Fair and Robust Federated Learning Through Personalization ↗Tian Li, Shengyuan Hu, Ahmad Beirami et al.22 citations
  5. Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations ↗Timothy Kim, Thomas Zhihao Luo, Jonathan W. Pillow et al.19 citations
  6. Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ↗Jimmy Jimmy, Justinian P. Rosca, Karthik Narasimhan et al.18 citations
  7. RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis ↗Kevin J. Shih, Rafael Valle, Rohan Badlani et al.18 citations
  8. Synthesizer: Rethinking Self-Attention for Transformer Models ↗Yi Tay, Dara Bahri, Donald Metzler et al.17 citations
  9. Dissecting Supervised Constrastive Learning ↗Florian Gräf, Christoph D. Hofer, Marc Niethammer et al.15 citations

All accepted papers (196)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks ↗Lingxiao Yang, Ru‐Yuan Zhang, Lida Li et al.638 citations
  2. HAWQ-V3: Dyadic Neural Network Quantization ↗Zhewei Yao, Zhen Dong, Zhangcheng Zheng et al.37 citations
  3. Representation Subspace Distance for Domain Adaptation Regression ↗Xinyang Chen, Sinan Wang, Jianmin Wang et al.29 citations
  4. Ditto: Fair and Robust Federated Learning Through Personalization ↗Tian Li, Shengyuan Hu, Ahmad Beirami et al.22 citations
  5. Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations ↗Timothy Kim, Thomas Zhihao Luo, Jonathan W. Pillow et al.19 citations
  6. Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ↗Jimmy Jimmy, Justinian P. Rosca, Karthik Narasimhan et al.18 citations
  7. RAD-TTS: Parallel Flow-Based TTS with Robust Alignment Learning and Diverse Synthesis ↗Kevin J. Shih, Rafael Valle, Rohan Badlani et al.18 citations
  8. Synthesizer: Rethinking Self-Attention for Transformer Models ↗Yi Tay, Dara Bahri, Donald Metzler et al.17 citations
  9. Dissecting Supervised Constrastive Learning ↗Florian Gräf, Christoph D. Hofer, Marc Niethammer et al.15 citations
  10. Modelling Behavioural Diversity for Learning in Open-Ended Games ↗Nicolas Perez-Nieves, Yaodong Yang, Oliver Slumbers et al.13 citations
  11. One Pass Late Fusion Multi-view Clustering ↗Xinwang Liu, Li Liu, Qing Liao et al.13 citations
  12. SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels ↗Kunal Dahiya, Ananye Agarwal, Deepak Saini et al.13 citations
  13. AutoAttend: Automated Attention Representation Search ↗Chaoyu Guan, Xin Wang, Wenwu Zhu11 citations
  14. Federated Learning under Arbitrary Communication Patterns ↗Dmitrii Avdiukhin, Shiva Prasad Kasiviswanathan11 citations
  15. Improved OOD Generalization via Adversarial Training and Pretraing ↗Mingyang Yi, Lu Hou, Jiacheng Sun et al.10 citations
  16. Sharper Generalization Bounds for Clustering ↗Shaojie Li, Yong Liu10 citations
  17. Understanding and Mitigating Accuracy Disparity in Regression ↗Jianfeng Chi, Han Zhao, Geoff Gordon et al.10 citations

See all 196 papers in ICML 2021 — accepted papers →

 Papers with our summary in our library (2)

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

  1. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Vision & language (1)Efficient models & compression (1)

 Fields

Computer Science (2)Arts and Humanities (1)

 Top authors

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

 Top institutions

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

works and citations from OpenAlex and our library.

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