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24 May 2024

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Results 1 to 20 of 37 for query "Bhavya Kailkhura". (0.01 sec.)

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1.

Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian R. Bartoldson; Bhavya Kailkhura; Davis Blalock;
13 Oct 2022

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2.

Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil; Brian R. Bartoldson; James Diffenderfer; Bhavya Kailkhura; Peer-Timo Bremer;
8 Jul 2022

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3.

On Certifying and Improving Generalization to Unseen Domains
Akshay Mehra; Bhavya Kailkhura; Pin-Yu Chen; Jihun Hamm;
24 Jun 2022

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4.

Improving Diversity with Adversarially Learned Transformations for Domain Generalization
Tejas Gokhale; Rushil Anirudh; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Chitta Baral; Yezhou Yang;
15 Jun 2022

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5.

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning
Ioannis Tsaknakis; Bhavya Kailkhura; Sijia Liu; Donald Loveland; James Diffenderfer; Anna Maria Hiszpanski; Mingyi Hong;
4 Jun 2022

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6.

Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions
Evan R. Antoniuk; Peggy Li; Bhavya Kailkhura; Anna M. Hiszpanski;
27 May 2022

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7.

Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices
Kshitij Bhardwaj; James Diffenderfer; Bhavya Kailkhura; Maya Gokhale;
21 Mar 2022

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8.

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
Fan Wu; Linyi Li; Chejian Xu; Huan Zhang; Bhavya Kailkhura; Krishnaram Kenthapadi; Ding Zhao; Bo Li;
16 Mar 2022

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9.

Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Jiachen Sun; Qingzhao Zhang; Bhavya Kailkhura; Zhiding Yu; Chaowei Xiao; Z. Morley Mao;
28 Jan 2022

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10.

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

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11.

Reliable Graph Neural Network Explanations Through Adversarial Training
Donald Loveland; Shusen Liu; Bhavya Kailkhura; Anna Hiszpanski; Yong Han;
25 Jun 2021

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12.

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
James Diffenderfer; Brian R. Bartoldson; Shreya Chaganti; Jize Zhang; Bhavya Kailkhura;
16 Jun 2021

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13.

Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
Cheng Chen; Bhavya Kailkhura; Ryan Goldhahn; Yi Zhou;
30 Mar 2021

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14.

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
Tejas Gokhale; Rushil Anirudh; Bhavya Kailkhura; Jayaraman J. Thiagarajan; Chitta Baral; Yezhou Yang;
3 Dec 2020

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15.

How Robust are Randomized Smoothing based Defenses to Data Poisoning?
Akshay Mehra; Bhavya Kailkhura; Pin-Yu Chen; Jihun Hamm;
2 Dec 2020

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16.

Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
Ankur Mallick; Chaitanya Dwivedi; Bhavya Kailkhura; Gauri Joshi; T. Yong-Jin Han;
18 Jul 2020

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17.

Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design
Shusen Liu; Bhavya Kailkhura; Jize Zhang; Anna M. Hiszpanski; Emily Robertson; Donald Loveland; T. Yong-Jin Han;
16 Jul 2020

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18.

Adversarial Mutual Information for Text Generation
Boyuan Pan; Yazheng Yang; Kaizhao Liang; Bhavya Kailkhura; Zhongming Jin; Xian-Sheng Hua; Deng Cai; Bo Li;
30 Jun 2020

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19.

Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang; Bhavya Kailkhura; T. Yong-Jin Han;
16 Mar 2020

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20.

Anomalous Instance Detection in Deep Learning: A Survey
Saikiran Bulusu; Bhavya Kailkhura; Bo Li; Pramod K. Varshney; Dawn Song;
16 Mar 2020

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