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Eric Gan
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2020 – today
- 2024
- [j1]Ziming Liu, Eric Gan, Max Tegmark:
Seeing Is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability. Entropy 26(1): 41 (2024) - [c3]Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman:
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias. AISTATS 2024: 2953-2961 - [c2]Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman:
Investigating the Benefits of Projection Head for Representation Learning. ICLR 2024 - [i6]Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman:
Investigating the Benefits of Projection Head for Representation Learning. CoRR abs/2403.11391 (2024) - [i5]Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman:
Make the Most of Your Data: Changing the Training Data Distribution to Improve In-distribution Generalization Performance. CoRR abs/2404.17768 (2024) - 2023
- [c1]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. ICML 2023: 38938-38970 - [i4]Ziming Liu, Eric Gan, Max Tegmark:
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability. CoRR abs/2305.08746 (2023) - [i3]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR abs/2305.16536 (2023) - [i2]Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman:
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias. CoRR abs/2305.18761 (2023) - [i1]Lauren Watson, Eric Gan, Mohan Dantam, Baharan Mirzasoleiman, Rik Sarkar:
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent. CoRR abs/2311.06839 (2023)
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last updated on 2024-08-08 20:16 CEST by the dblp team
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