Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise

20 October 2022

Papers citing "Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise"

9 / 9 papers shown

Title
Severing Spurious Correlations with Data Pruning Varun Mulchandani Jung-Eun Kim 207 0 0 24 Mar 2025
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment Chenhang Cui An Zhang Yiyang Zhou Zhaorun Chen Gelei Deng Huaxiu Yao Tat-Seng Chua 73 4 0 18 Oct 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations GuanWen Qiu Da Kuang Surbhi Goel 32 8 0 05 Mar 2024
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning Chia-Hsiang Kao Yu-Chiang Frank Wang FedML 26 1 0 19 Jul 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,457 0 11 Nov 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 281 0 12 Feb 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 372 0 09 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 907 0 02 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 675 0 17 Feb 2018