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Saurabh Garg

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Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

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Dec 06, 2023
Saurabh Garg, Amrith Setlur, Zachary Chase Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan

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Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches

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Oct 25, 2023
Jianping Yao, Son N. Tran, Saurabh Garg, Samantha Sawyer

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TiC-CLIP: Continual Training of CLIP Models

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Oct 24, 2023
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri

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Machine Learning for Leaf Disease Classification: Data, Techniques and Applications

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Oct 19, 2023
Jianping Yao, Son N. Tran, Samantha Sawyer, Saurabh Garg

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(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy

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Jun 01, 2023
Elan Rosenfeld, Saurabh Garg

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Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms

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May 31, 2023
Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary Chase Lipton, Yu-Xiang Wang

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CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets

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Feb 07, 2023
Zachary Novack, Saurabh Garg, Julian McAuley, Zachary C. Lipton

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RLSbench: Domain Adaptation Under Relaxed Label Shift

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Feb 06, 2023
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton

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Disentangling the Mechanisms Behind Implicit Regularization in SGD

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Nov 29, 2022
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary C. Lipton

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Characterizing Datapoints via Second-Split Forgetting

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Oct 26, 2022
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter

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