Mitchell L. Gordon

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Maximum Entropy Principle

Generative Model

Web Accessibility

Top Venues

UIST (Adjunct Volume)

Proc. ACM Hum. Comput. Interact.

Publications

Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi
A Roadmap to Pluralistic Alignment. CoRR (2024)
Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein
Cura: Curation at Social Media Scale. CoRR (2023)
Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein
Cura: Curation at Social Media Scale. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Michael S. Bernstein, Joon Sung Park, Meredith Ringel Morris, Saleema Amershi, Lydia B. Chilton, Mitchell L. Gordon
Architecting Novel Interactions with Generative AI Models. UIST (Adjunct Volume) (2023)
Michelle S. Lam, Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR (2022)
Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI (2022)
Michelle S. Lam, Mitchell L. Gordon, Danaë Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein
Visual Intelligence through Human Interaction. CoRR (2021)
Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI (2021)
Mitchell L. Gordon
Harnessing Disagreement to Create AI-Powered Systems That Reflect Our Values. UIST (Adjunct Volume) (2021)
Mitchell L. Gordon, Tim Althoff, Jure Leskovec
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. WWW (2019)
Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel
App Usage Predicts Cognitive Ability in Older Adults. CHI (2019)
Mitchell L. Gordon, Shumin Zhai
Touchscreen Haptic Augmentation Effects on Tapping, Drag and Drop, and Path Following. CHI (2019)
Mitchell L. Gordon, Tim Althoff, Jure Leskovec
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. CoRR (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. NeurIPS (2019)
Y. Alex Kolchinski, Sharon Zhou, Shengjia Zhao, Mitchell L. Gordon, Stefano Ermon
Approximating Human Judgment of Generated Image Quality. CoRR (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
HYPE: Human eYe Perceptual Evaluation of Generative Models. CoRR (2019)
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein
HYPE: Human-eYe Perceptual Evaluation of Generative Models. DGS@ICLR (2019)
Harmanpreet Kaur, Mitchell L. Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, Walter S. Lasecki
CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. HCOMP (2017)
Jihyeon Janel Lee, Mitchell L. Gordon, Maneesh Agrawala
Automatically Visualizing Audio Travel Podcasts. UIST (Adjunct Volume) (2017)
Jinyeong Yim, Jeel Jasani, Aubrey Henderson, Danai Koutra, Steven Dow, Winnie Leung, Ellen Lim, Mitchell L. Gordon, Jeffrey P. Bigham, Walter S. Lasecki
Coding Varied Behavior Types Using the Crowd. CSCW Companion (2016)
Mitchell L. Gordon, Tom Ouyang, Shumin Zhai
WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding. CHI (2016)
Walter S. Lasecki, Mitchell L. Gordon, Winnie Leung, Ellen Lim, Jeffrey P. Bigham, Steven P. Dow
Exploring Privacy and Accuracy Trade-Offs in Crowdsourced Behavioral Video Coding. CHI (2015)
Mitchell L. Gordon, Philip J. Guo
Codepourri: Creating visual coding tutorials using a volunteer crowd of learners. VL/HCC (2015)
Mitchell L. Gordon, Jeffrey P. Bigham, Walter S. Lasecki
LegionTools: A Toolkit + UI for Recruiting and Routing Crowds to Synchronous Real-Time Tasks. UIST (Adjunct Volume) (2015)
Joyce Zhu, Jeremy Warner, Mitchell L. Gordon, Jeffery White, Renan Zanelatto, Philip J. Guo
Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum. VL/HCC (2015)
Walter S. Lasecki, Mitchell L. Gordon, Steven P. Dow, Jeffrey P. Bigham
Glance: enabling rapid interactions with data using the crowd. CHI Extended Abstracts (2014)
Mitchell L. Gordon, Walter S. Lasecki, Winnie Leung, Ellen Lim, Steven P. Dow, Jeffrey P. Bigham
Glance Privacy: Obfuscating Personal Identity While Coding Behavioral Video. HCOMP (2014)
Walter S. Lasecki, Mitchell L. Gordon, Danai Koutra, Malte F. Jung, Steven P. Dow, Jeffrey P. Bigham
Glance: rapidly coding behavioral video with the crowd. UIST (2014)
Mitchell L. Gordon
Web accessibility evaluation with the crowd: using glance to rapidly code user testing video. ASSETS (2014)