Raghuram, Jayaram

9 publications

ICLR 2025 CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha

ICLR 2025 Palmbench: A Comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms Yilong Li, Jingyu Liu, Hao Zhang, M Badri Narayanan, Utkarsh Sharma, Shuai Zhang, Yijing Zeng, Jayaram Raghuram, Suman Banerjee

ICMLW 2024 Adaptive Concept Bottleneck for Foundation Models Jihye Choi, Jayaram Raghuram, Yixuan Li, Suman Banerjee, Somesh Jha

ICML 2023 Concept-Based Explanations for Out-of-Distribution Detectors Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash

ICLR 2023 Few-Shot Domain Adaptation for End-to-End Communication Jayaram Raghuram, Yijing Zeng, Dolores Garcia, Rafael Ruiz, Somesh Jha, Joerg Widmer, Suman Banerjee

ICML 2023 Stratified Adversarial Robustness with Rejection Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha

ICLR 2023 The Trade-Off Between Universality and Label Efficiency of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha

ICMLW 2022 The Trade-Off Between Label Efficiency and Universality of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha

ICML 2021 A General Framework for Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee