Importance Tempering: Group Robustness for Overparameterized Models

19 September 2022

Papers citing "Importance Tempering: Group Robustness for Overparameterized Models"

10 / 10 papers shown

Title
Evaluating the Fairness of Neural Collapse in Medical Image Classification Kaouther Mouheb Marawan Elbatel Stefan Klein Esther E. Bron 37 0 0 08 Jul 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 36 5 0 15 Mar 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 27 8 0 24 Oct 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data Tina Behnia Ganesh Ramachandra Kini V. Vakilian Christos Thrampoulidis 44 17 0 14 Mar 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 35 11 0 06 Feb 2023
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 17 5 0 28 Nov 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 44 27 0 28 Jan 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 135 83 0 06 Oct 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 130 165 0 29 Jan 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020