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Kailas Vodrahalli
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Journal Articles
- 2020
- [j2]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: 63790-63820 (2020) - [j1]Vidya Muthukumar, Kailas Vodrahalli
, Vignesh Subramanian
, Anant Sahai
:
Harmless Interpolation of Noisy Data in Regression. IEEE J. Sel. Areas Inf. Theory 1(1): 67-83 (2020)
Conference and Workshop Papers
- 2023
- [c9]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: 545-555 - 2022
- [c8]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: 763-777 - [c7]Kailas Vodrahalli, Tobias Gerstenberg, James Y. Zou:
Uncalibrated Models Can Improve Human-AI Collaboration. NeurIPS 2022 - 2021
- [c6]Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou:
Adversarial Training Helps Transfer Learning via Better Representations. NeurIPS 2021: 25179-25191 - [c5]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 - 2020
- [c4]Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman:
Serverless linear algebra. SoCC 2020: 281-295 - 2019
- [c3]Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli:
Learning to Communicate with Limited Co-design. Allerton 2019: 184-191 - [c2]Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai:
Harmless interpolation of noisy data in regression. ISIT 2019: 2299-2303 - 2018
- [c1]Vignesh Subramanian, Laura Brink, Nikunj Jain, Kailas Vodrahalli, Akhil Jalan, Nikhil Shinde, Anant Sahai:
Some new numeric results concerning the Witsenhausen Counterexample. Allerton 2018: 413-420
Informal and Other Publications
- 2023
- [i13]Kailas Vodrahalli, James Zou:
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations. CoRR abs/2306.08141 (2023) - [i12]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:
Can large language models provide useful feedback on research papers? A large-scale empirical analysis. CoRR abs/2310.01783 (2023) - 2022
- [i11]Kailas Vodrahalli, Tobias Gerstenberg, James Zou:
Uncalibrated Models Can Improve Human-AI Collaboration. CoRR abs/2202.05983 (2022) - [i10]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 abs/2203.08807 (2022) - [i9]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 abs/2209.09105 (2022) - 2021
- [i8]Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Zou:
Adversarial Training Helps Transfer Learning via Better Representations. CoRR abs/2106.10189 (2021) - [i7]Kailas Vodrahalli, Tobias Gerstenberg, James Zou:
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions. CoRR abs/2107.07015 (2021) - [i6]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 abs/2111.08006 (2021) - 2020
- [i5]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 abs/2010.02086 (2020) - [i4]Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik:
Better Knowledge Retention through Metric Learning. CoRR abs/2011.13149 (2020) - 2019
- [i3]Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai:
Harmless interpolation of noisy data in regression. CoRR abs/1903.09139 (2019) - [i2]Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli:
Learning to Communicate in a Noisy Environment. CoRR abs/1910.09630 (2019) - 2018
- [i1]Kailas Vodrahalli, Ke Li, Jitendra Malik:
Are All Training Examples Created Equal? An Empirical Study. CoRR abs/1811.12569 (2018)
Coauthor Index
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