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Parikshit Ram

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Enhancing In-context Learning via Linear Probe Calibration

Jan 22, 2024
Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen

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Compositional Program Generation for Systematic Generalization

Sep 28, 2023
Tim Klinger, Luke Liu, Soham Dan, Maxwell Crouse, Parikshit Ram, Alexander Gray

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End-to-end Differentiable Clustering with Associative Memories

Jun 05, 2023
Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki, Parikshit Ram

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Model Sparsification Can Simplify Machine Unlearning

Apr 14, 2023
Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

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What Is Missing in IRM Training and Evaluation? Challenges and Solutions

Mar 04, 2023
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush Varshney, Sijia Liu

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Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection

Jan 12, 2023
Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble

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Advancing Model Pruning via Bi-level Optimization

Oct 12, 2022
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu

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Navigating Ensemble Configurations for Algorithmic Fairness

Oct 11, 2022
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar

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Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning

Mar 03, 2022
Alex Gu, Songtao Lu, Parikshit Ram, Lily Weng

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