Kayur Patel

According to our database, Kayur Patel authored at least 23 papers between 2005 and 2022.

Collaborative distances:

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

2022

Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels.

Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Jury Learning: Integrating Dissenting Voices into Machine Learning Models.

Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality.

Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks.

Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Tempura: Query Analysis with Structural Templates.

Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

The Future of Notebook Programming Is Fluid.

Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Understanding and Visualizing Data Iteration in Machine Learning.

Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

App Usage Predicts Cognitive Ability in Older Adults.

Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2015

Scalable and Interpretable Data Representation for High-Dimensional, Complex Data.

Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Corporate learning at scale: lessons from a large online course at google.

Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

2012

Lowering the Barrier to Applying Machine Learning.

Kayur Patel

PhD thesis, 2012

2011

Using Multiple Models to Understand Data.

Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan

Proceedings of the IJCAI 2011, 2011

2010

Gestalt: integrated support for implementation and analysis in machine learning.

Kayur Patel, Naomi Bancroft, Steven Mark Drucker, James Fogarty, Amy J. Ko, James A. Landay

Proceedings of the 23rd Annual ACM Symposium on User Interface Software and Technology, 2010

Lowering the barrier to applying machine learning.

Kayur Patel

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

2009

Amplifying community content creation with mixed initiative information extraction.

Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008

Detecting digital chameleons.

Jeremy N. Bailenson, Nick Yee, Kayur Patel, Andrew C. Beall

Comput. Hum. Behav., 2008

VoiceLabel: using speech to label mobile sensor data.

Susumu Harada, Jonathan Lester, Kayur Patel, T. Scott Saponas, James Fogarty, James A. Landay, Jacob O. Wobbrock

Proceedings of the 10th International Conference on Multimodal Interfaces, 2008

Investigating statistical machine learning as a tool for software development.

Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

Intelligence in Wikipedia.

Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning.

Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2006

Personalizing routes.

Kayur Patel, Mike Y. Chen, Ian E. Smith, James A. Landay

Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology, 2006

2005

Active Sensing for High-Speed Offroad Driving.

Kayur Patel, Walter Macklem, Sebastian Thrun, Michael Montemerlo

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization.

Peter Bodík, Greg Friedman, Lukas Biewald, Helen Levine, George Candea, Kayur Patel, Gilman Tolle, Jonathan Hui, Armando Fox, Michael I. Jordan, David A. Patterson

Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005