Gan, Eric

6 publications

TMLR 2025 Occam’s Razor for SSL: Memory-Efficient Parametric Instance Discrimination Eric Gan, Patrik Reizinger, Alice Bizeul, Attila Juhos, Mark Ibrahim, Randall Balestriero, David Klindt, Wieland Brendel, Baharan Mirzasoleiman

NeurIPS 2024 Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-Distribution Generalization Tuan Hai Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman

AISTATS 2024 Identifying Spurious Biases Early in Training Through the Lens of Simplicity Bias Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman

ICLR 2024 Investigating the Benefits of Projection Head for Representation Learning Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman

ICMLW 2023 Which Features Are Learned by Contrastive Learning? on the Role of Simplicity Bias in Class Collapse and Feature Suppression Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman

ICML 2023 Which Features Are Learnt by Contrastive Learning? on the Role of Simplicity Bias in Class Collapse and Feature Suppression Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman