Kayur Patel

27 papers A* 16B 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2022 A* conf
Jury Learning: Integrating Dissenting Voices into Machine Learning Models.
CHI
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
2022 J jnl
Jury Learning: Integrating Dissenting Voices into Machine Learning Models.
CoRR
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
2022 A* conf
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels.
CHI
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
2021 J jnl
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels.
CoRR
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
2021 A* conf
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality.
CHI
Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein
2020 A* conf
Tempura: Query Analysis with Structural Templates.
CHI
Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois
2020 — conf
The Future of Notebook Programming Is Fluid.
CHI Extended Abstracts
Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel
2020 A* conf
Understanding and Visualizing Data Iteration in Machine Learning.
CHI
Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel
2020 A* conf
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks.
UIST
Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel
2020 J jnl
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks.
CoRR
Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel
2019 A* conf
App Usage Predicts Cognitive Ability in Older Adults.
CHI
Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel
2015 A* conf
Scalable and Interpretable Data Representation for High-Dimensional, Complex Data.
AAAI
Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah
2014 B conf
Corporate learning at scale: lessons from a large online course at google.
L@S
Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong
2012 — —
Lowering the Barrier to Applying Machine Learning.
Kayur Patel
2011 A* conf
Using Multiple Models to Understand Data.
IJCAI
Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan
2010 A* conf
Gestalt: integrated support for implementation and analysis in machine learning.
UIST
Kayur Patel, Naomi Bancroft, Steven Mark Drucker, James Fogarty, Amy J. Ko, James A. Landay
2010 — conf
Lowering the barrier to applying machine learning.
CHI Extended Abstracts
Kayur Patel
2010 — conf
Lowering the barrier to applying machine learning.
UIST (Adjunct Volume)
Kayur Patel
2009 A* conf
Amplifying community content creation with mixed initiative information extraction.
CHI
Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld
2008 J jnl
Detecting digital chameleons.
Comput. Hum. Behav.
Jeremy N. Bailenson, Nick Yee, Kayur Patel, Andrew C. Beall
2008 A* conf
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning.
AAAI
Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison
2008 A* conf
Intelligence in Wikipedia.
AAAI
Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner
2008 A* conf
Investigating statistical machine learning as a tool for software development.
CHI
Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison
2008 B conf
VoiceLabel: using speech to label mobile sensor data.
ICMI
Susumu Harada, Jonathan Lester, Kayur Patel, T. Scott Saponas, James Fogarty, James A. Landay, Jacob O. Wobbrock
2006 A* conf
Personalizing routes.
UIST
Kayur Patel, Mike Y. Chen, Ian E. Smith, James A. Landay
2005 A* conf
Active Sensing for High-Speed Offroad Driving.
ICRA
Kayur Patel, Walter Macklem, Sebastian Thrun, Michael Montemerlo
2005 — conf
Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization.
ICAC
Peter Bodík, Greg Friedman, Lukas Biewald, Helen Levine, George Candea, Kayur Patel, Gilman Tolle, Jonathan Hui, Armando Fox, Michael I. Jordan, David A. Patterson