Kailas Vodrahalli

26 papers A* 3B 1C 1Misc 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning a Canonical Basis of Human Preferences from Binary Ratings. CoRR Kailas Vodrahalli, Wei Wei, James Zou
2024	A*	`conf`	ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations. ICML Kailas Vodrahalli, James Zou
2023	J	`jnl`	ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations. CoRR Kailas Vodrahalli, James Zou
2023	J	`jnl`	Can large language models provide useful feedback on research papers? A large-scale empirical analysis. CoRR 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
2023	—	`conf`	Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes. CHIL Kailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin
2022	J	`jnl`	Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. CoRR Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou
2022	J	`jnl`	Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR 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
2022	C	`conf`	Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. AIES Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou
2022	A*	`conf`	Uncalibrated Models Can Improve Human-AI Collaboration. NeurIPS Kailas Vodrahalli, Tobias Gerstenberg, James Y. Zou
2022	J	`jnl`	Uncalibrated Models Can Improve Human-AI Collaboration. CoRR Kailas Vodrahalli, Tobias Gerstenberg, James Zou
2021	A*	`conf`	Adversarial Training Helps Transfer Learning via Better Representations. NeurIPS Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou
2021	J	`jnl`	Adversarial Training Helps Transfer Learning via Better Representations. CoRR Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Zou
2021	J	`jnl`	Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR 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
2021	J	`jnl`	Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions. CoRR Kailas Vodrahalli, Tobias Gerstenberg, James Zou
2021	Misc	`conf`	TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. PSB Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou
2020	J	`jnl`	Better Knowledge Retention through Metric Learning. CoRR Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik
2020	J	`jnl`	Blind Interactive Learning of Modulation Schemes: Multi-Agent Cooperation Without Co-Design. IEEE Access Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
2020	J	`jnl`	Harmless Interpolation of Noisy Data in Regression. IEEE J. Sel. Areas Inf. Theory Vidya Muthukumar, Kailas Vodrahalli, Vignesh Subramanian, Anant Sahai
2020	—	`conf`	Serverless linear algebra. SoCC Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman
2020	J	`jnl`	TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. CoRR Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou
2019	B	`conf`	Harmless interpolation of noisy data in regression. ISIT Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai
2019	J	`jnl`	Harmless interpolation of noisy data in regression. CoRR Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai
2019	J	`jnl`	Learning to Communicate in a Noisy Environment. CoRR Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
2019	—	`conf`	Learning to Communicate with Limited Co-design. Allerton Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli
2018	J	`jnl`	Are All Training Examples Created Equal? An Empirical Study. CoRR Kailas Vodrahalli, Ke Li, Jitendra Malik
2018	—	`conf`	Some new numeric results concerning the Witsenhausen Counterexample. Allerton Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai