Distributed, Parallel, and Cluster Computing · Computer Science
On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers
Zhengxian Lu, Fangyu Wang, Zhiwei Xu, Fei Yang +1
2024-07-03
Neural and Evolutionary Computing · Computer Science
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles
Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato +2
2018-11-26
Machine Learning · Computer Science
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang +1
2024-12-18
Systems and Control · Electrical Eng. & Systems
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022-03-22
Machine Learning · Computer Science
Robustness as an Emergent Property of Task Performance
Shir Ashury-Tahan, Ariel Gera, Elron Bandel, Michal Shmueli-Scheuer +1
2026-02-04
Machine Learning · Statistics
Robustness May Be at Odds with Accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner +1
2019-09-10
Systems and Control · Electrical Eng. & Systems
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation
Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2023-05-29
Machine Learning · Computer Science
Evaluating the Performance of Reinforcement Learning Algorithms
Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang +1
2020-08-14
Machine Learning · Computer Science
Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi +2
2022-10-11
Machine Learning · Computer Science
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang
2020-10-19
Machine Learning · Computer Science
Position: Capability Control Should be a Separate Goal From Alignment
Shoaib Ahmed Siddiqui, Eleni Triantafillou, David Krueger, Adrian Weller
2026-02-06
Machine Learning · Computer Science
Effective dimension of machine learning models
Amira Abbas, David Sutter, Alessio Figalli, Stefan Woerner
2021-12-10
Machine Learning · Computer Science
Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning
Rafał Surdej, Michał Bortkiewicz, Alex Lewandowski, Mateusz Ostaszewski +1
2025-07-22
Machine Learning · Computer Science
Clustering Effect of (Linearized) Adversarial Robust Models
Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia +1
2021-11-29