Kailas Vodrahalli

Orcid: 0000-0002-9849-3055

According to our database1, Kailas Vodrahalli authored at least 20 papers between 2018 and 2024.

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Bibliography

2024
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
CoRR, 2023

Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes.
Proceedings of the Conference on Health, Inference, and Learning, 2023

2022
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality.
CoRR, 2022

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set.
CoRR, 2022

Uncalibrated Models Can Improve Human-AI Collaboration.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images.
CoRR, 2021

Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions.
CoRR, 2021

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Adversarial Training Helps Transfer Learning via Better Representations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Harmless Interpolation of Noisy Data in Regression.
IEEE J. Sel. Areas Inf. Theory, 2020

Better Knowledge Retention through Metric Learning.
CoRR, 2020

Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design.
IEEE Access, 2020

Serverless linear algebra.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019
Learning to Communicate in a Noisy Environment.
CoRR, 2019

Harmless interpolation of noisy data in regression.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Learning to Communicate with Limited Co-design.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Are All Training Examples Created Equal? An Empirical Study.
CoRR, 2018

Some new numeric results concerning the Witsenhausen Counterexample.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018


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