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Akshay Mehra
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2020 – today
- 2024
- [c6]Akshay Mehra, Yunbei Zhang, Jihun Hamm:
Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport. CVPR Workshops 2024: 173-182 - [c5]Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm:
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization. WACV 2024: 3788-3799 - [i13]Akshay Mehra, Yunbei Zhang, Jihun Hamm:
Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport. CoRR abs/2405.01451 (2024) - [i12]Yunbei Zhang, Akshay Mehra, Jihun Hamm:
Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time Adaptation. CoRR abs/2406.10737 (2024) - [i11]Yunbei Zhang, Akshay Mehra, Jihun Hamm:
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation. CoRR abs/2407.09498 (2024) - 2023
- [i10]Akshay Mehra, Yunbei Zhang, Jihun Hamm:
Analysis of Task Transferability in Large Pre-trained Classifiers. CoRR abs/2307.00823 (2023) - [i9]Akshay Mehra, Yunbei Zhang, Bhavya Kailkhura, Jihun Hamm:
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization. CoRR abs/2307.08551 (2023) - 2022
- [c4]Jiachen Sun
, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness. ECCV (4) 2022: 654-671 - [i8]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
On Certifying and Improving Generalization to Unseen Domains. CoRR abs/2206.12364 (2022) - [i7]Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald:
Understanding the Robustness of Multi-Exit Models under Common Corruptions. CoRR abs/2212.01562 (2022) - 2021
- [c3]Akshay Mehra, Jihun Hamm:
Penalty Method for Inversion-Free Deep Bilevel Optimization. ACML 2021: 347-362 - [c2]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021: 13244-13253 - [c1]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. NeurIPS 2021: 17347-17359 - [i6]Byunggill Joe, Akshay Mehra, Insik Shin, Jihun Hamm:
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks. CoRR abs/2106.07925 (2021) - [i5]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. CoRR abs/2107.03919 (2021) - [i4]Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines. CoRR abs/2112.00659 (2021) - 2020
- [i3]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
How Robust are Randomized Smoothing based Defenses to Data Poisoning? CoRR abs/2012.01274 (2020)
2010 – 2019
- 2019
- [i2]Akshay Mehra, Jihun Hamm:
Penalty Method for Inversion-Free Deep Bilevel Optimization. CoRR abs/1911.03432 (2019) - 2018
- [i1]Akshay Mehra, Jihun Hamm, Mikhail Belkin:
Fast Interactive Image Retrieval using large-scale unlabeled data. CoRR abs/1802.04204 (2018)
Coauthor Index
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last updated on 2024-10-11 17:28 CEST by the dblp team
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