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Eric Gan

Make the Most of Your Data: Changing the Training Data Distribution to Improve In-distribution Generalization Performance

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Apr 27, 2024
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Investigating the Benefits of Projection Head for Representation Learning

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Mar 18, 2024
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Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent

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Nov 12, 2023
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Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias

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May 30, 2023
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Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression

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May 29, 2023
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Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

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May 04, 2023
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