Eric Gan

13 papers A* 3A 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
DigiData: Training and Evaluating General-Purpose Mobile Control Agents.
CoRR
Yuxuan Sun, Manchen Wang, Shengyi Qian, William R. Wong, Eric Gan, Pierluca D'Oro, Alejandro Castillejo Munoz, Sneha Silwal, Pedro Matias, Nitin Kamra, Satwik Kottur, Nick Raines, Xuanyi Zhao, Joy Chen, Joseph Greer, Andrea Madotto, Allen Bolourchi, James Valori, Kevin Carlberg, Karl Ridgeway, Joseph Tighe
2025 J jnl
Occam's Razor for SSL: Memory-Efficient Parametric Instance Discrimination.
Trans. Mach. Learn. Res.
Eric Gan, Patrik Reizinger, Alice Bizeul, Attila Juhos, Mark Ibrahim, Randall Balestriero, David A. Klindt, Wieland Brendel, Baharan Mirzasoleiman
2024 A* conf
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization.
NeurIPS
Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman
2024 A conf
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias.
AISTATS
Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
2024 A* conf
Investigating the Benefits of Projection Head for Representation Learning.
ICLR
Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
2024 J jnl
Investigating the Benefits of Projection Head for Representation Learning.
CoRR
Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
2024 J jnl
Make the Most of Your Data: Changing the Training Data Distribution to Improve In-distribution Generalization Performance.
CoRR
Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman
2024 J jnl
Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability.
Entropy
Ziming Liu, Eric Gan, Max Tegmark
2023 J jnl
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias.
CoRR
Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
2023 J jnl
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent.
CoRR
Lauren Watson, Eric Gan, Mohan Dantam, Baharan Mirzasoleiman, Rik Sarkar
2023 J jnl
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability.
CoRR
Ziming Liu, Eric Gan, Max Tegmark
2023 A* conf
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression.
ICML
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
2023 J jnl
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression.
CoRR
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman