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ORCIDMitchell L. Gordon
Person information
- affiliation: Stanford University, Stanford, CA, USA
- affiliation: University of Rochester, Department of Computer Science, NY, USA
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2020 – today
- 2024
[c22]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:
Position: A Roadmap to Pluralistic Alignment. ICML 2024- [i8]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 abs/2402.05070 (2024) - [i7]Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L. Gordon, Zaïd Harchaoui, Yejin Choi:
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements. CoRR abs/2408.15666 (2024) - 2023
- [j2]Wanrong He
, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein:
Cura: Curation at Social Media Scale. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-33 (2023) - [c21]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: 107:1-107:3 - [i6]Wanrong He, Mitchell L. Gordon, Lindsay Popowski, Michael S. Bernstein:
Cura: Curation at Social Media Scale. CoRR abs/2308.13841 (2023) - 2022
- [j1]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): 1-34 (2022) - [c20]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: 115:1-115:19 - [i5]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 abs/2202.02950 (2022) - 2021
- [c19]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: 388:1-388:14 - [c18]Mitchell L. Gordon:
Harnessing Disagreement to Create AI-Powered Systems That Reflect Our Values. UIST (Adjunct Volume) 2021: 171-174 - [i4]Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein:
Visual Intelligence through Human Interaction. CoRR abs/2111.06913 (2021)
2010 – 2019
- 2019
- [c17]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: 168 - [c16]Mitchell L. Gordon, Shumin Zhai:
Touchscreen Haptic Augmentation Effects on Tapping, Drag and Drop, and Path Following. CHI 2019: 373 - [c15]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 - [c14]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: 3444-3456 - [c13]Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. WWW 2019: 571-582 - [i3]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein:
HYPE: Human eYe Perceptual Evaluation of Generative Models. CoRR abs/1904.01121 (2019) - [i2]Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. CoRR abs/1904.02813 (2019) - [i1]Y. Alex Kolchinski, Sharon Zhou, Shengjia Zhao, Mitchell L. Gordon, Stefano Ermon:
Approximating Human Judgment of Generated Image Quality. CoRR abs/1912.12121 (2019) - 2017
- [c12]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: 89-97 - [c11]Jihyeon Janel Lee, Mitchell L. Gordon, Maneesh Agrawala:
Automatically Visualizing Audio Travel Podcasts. UIST (Adjunct Volume) 2017: 165-167 - 2016
- [c10]Mitchell L. Gordon, Tom Ouyang, Shumin Zhai:
WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding. CHI 2016: 3817-3821 - [c9]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: 114-117 - 2015
- [c8]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: 1945-1954 - [c7]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: 81-82 - [c6]Mitchell L. Gordon, Philip J. Guo:
Codepourri: Creating visual coding tutorials using a volunteer crowd of learners. VL/HCC 2015: 13-21 - [c5]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: 101-109 - 2014
- [c4]Mitchell L. Gordon:
Web accessibility evaluation with the crowd: using glance to rapidly code user testing video. ASSETS 2014: 339-340 - [c3]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: 511-514 - [c2]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: 18-19 - [c1]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: 551-562
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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