Eric Gan

Memory-Efficient Self-Supervised Contrastive Learning with a Supervised Loss

Investigating the Benefits of Projection Head for Representation Learning

Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization

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