Kailas Vodrahalli

According to our database, Kailas Vodrahalli authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Scott Smith, Yian Yin, Daniel A. McFarland, James Zou

CoRR, 2023

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations.

Kailas Vodrahalli, James Zou

CoRR, 2023

Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes.

Kailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin

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.

Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou

CoRR, 2022

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

Roxana Daneshjou, Kailas Vodrahalli, Roberto A. Novoa, Melissa Jenkins, Weixin Liang, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou

CoRR, 2022

Uncalibrated Models Can Improve Human-AI Collaboration.

Kailas Vodrahalli, Tobias Gerstenberg, James Y. Zou

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.

Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou

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.

Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou

CoRR, 2021

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

Kailas Vodrahalli, Tobias Gerstenberg, James Zou

CoRR, 2021

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos.

Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Adversarial Training Helps Transfer Learning via Better Representations.

Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou

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.

Vidya Muthukumar, Kailas Vodrahalli, Vignesh Subramanian, Anant Sahai

IEEE J. Sel. Areas Inf. Theory, 2020

Better Knowledge Retention through Metric Learning.

Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik

CoRR, 2020

Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design.

Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli

IEEE Access, 2020

Serverless linear algebra.

Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Learning to Communicate in a Noisy Environment.

Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli

CoRR, 2019

Harmless interpolation of noisy data in regression.

Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai

Proceedings of the IEEE International Symposium on Information Theory, 2019

Learning to Communicate with Limited Co-design.

Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Are All Training Examples Created Equal? An Empirical Study.

Kailas Vodrahalli, Ke Li, Jitendra Malik

CoRR, 2018

Some new numeric results concerning the Witsenhausen Counterexample.

Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai

Proceedings of the 56th Annual Allerton Conference on Communication, 2018