Eric Gan

According to our database, Eric Gan authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating the Benefits of Projection Head for Representation Learning.

Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman

CoRR, 2024

2023

Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent.

Lauren Watson, Eric Gan, Mohan Dantam, Baharan Mirzasoleiman, Rik Sarkar

CoRR, 2023

Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias.

Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman

CoRR, 2023

Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability.

Ziming Liu, Eric Gan, Max Tegmark

CoRR, 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

Proceedings of the International Conference on Machine Learning, 2023