Mehra, Akshay

13 publications

ICML 2025 DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm

WACV 2025 OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation Yunbei Zhang, Akshay Mehra, Jihun Hamm

WACV 2024 On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm

CVPRW 2024 Test-Time Assessment of a Model's Performance on Unseen Domains via Optimal Transport Akshay Mehra, Yunbei Zhang, Jihun Hamm

NeurIPS 2024 Understanding the Transferability of Representations via Task-Relatedness Akshay Mehra, Yunbei Zhang, Jihun Hamm

NeurIPSW 2023 Analysis of Task Transferability in Large Pre-Trained Classifiers Akshay Mehra, Yunbei Zhang, Jihun Hamm

ICMLW 2023 Risk-Averse Predictions on Unseen Domains via Neural Style Smoothing Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm

ECCV 2022 A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao

NeurIPSW 2022 Do Domain Generalization Methods Generalize Well? Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

CVPR 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

ICMLW 2021 On the Effectiveness of Poisoning Against Unsupervised Domain Adaptation Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

ACML 2021 Penalty Method for Inversion-Free Deep Bilevel Optimization Akshay Mehra, Jihun Hamm

NeurIPS 2021 Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm