Kailas Vodrahalli

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 24

Top Topics

Machine Learning

Environmental Factors

Intrinsic Dimensionality

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Kailas Vodrahalli, James Zou
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations. CoRR (2023)
Kailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin
Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes. CHIL (2023)
Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Smith, Yian Yin, Daniel A. McFarland, James Zou
Can large language models provide useful feedback on research papers? A large-scale empirical analysis. CoRR (2023)
Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. CoRR (2022)
Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou
Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. AIES (2022)
Kailas Vodrahalli, Tobias Gerstenberg, James Zou
Uncalibrated Models Can Improve Human-AI Collaboration. CoRR (2022)
Kailas Vodrahalli, Tobias Gerstenberg, James Y. Zou
Uncalibrated Models Can Improve Human-AI Collaboration. NeurIPS (2022)
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
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR (2022)
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
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR (2021)
Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Zou
Adversarial Training Helps Transfer Learning via Better Representations. CoRR (2021)
Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou
Adversarial Training Helps Transfer Learning via Better Representations. NeurIPS (2021)
Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. PSB (2021)
Kailas Vodrahalli, Tobias Gerstenberg, James Zou
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions. CoRR (2021)
Vidya Muthukumar, Kailas Vodrahalli, Vignesh Subramanian, Anant Sahai
Harmless Interpolation of Noisy Data in Regression. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. CoRR (2020)
Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman
Serverless linear algebra. SoCC (2020)
Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design. IEEE Access 8 (2020)
Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik
Better Knowledge Retention through Metric Learning. CoRR (2020)
Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai
Harmless interpolation of noisy data in regression. CoRR (2019)
Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai
Harmless interpolation of noisy data in regression. ISIT (2019)
Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
Learning to Communicate with Limited Co-design. Allerton (2019)
Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
Learning to Communicate in a Noisy Environment. CoRR (2019)
Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai
Some new numeric results concerning the Witsenhausen Counterexample. Allerton (2018)
Kailas Vodrahalli, Ke Li, Jitendra Malik
Are All Training Examples Created Equal? An Empirical Study. CoRR (2018)