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My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction


Nov 03, 2020
Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein

* Proc. ACM Hum.-Comput. Interact. 4, CSCW3, Article 230 (December 2020) 
* CSCW 2020 Honorable Mention Award 

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Establishing an Evaluation Metric to Quantify Climate Change Image Realism


Oct 22, 2019
Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio

* Accepted to the NeurIPS 2019 Workshop, Tackling Climate Change with Machine Learning 

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HYPE: Human eYe Perceptual Evaluation of Generative Models


Apr 24, 2019
Sharon Zhou, Mitchell Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein

* https://hype.stanford.edu 

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A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality


Nov 01, 2016
Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein

* 10 pages, 11 figures, accepted CSCW 2017 

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Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community


Mar 29, 2016
Ethan Fast, Tina Vachovsky, Michael S. Bernstein

* in ICWSM 2016 

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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations


Feb 23, 2016
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Fei-Fei Li

* 44 pages, 37 figures 

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Embracing Error to Enable Rapid Crowdsourcing


Feb 14, 2016
Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein

* 10 pages, 7 figures, CHI '16, CHI: ACM Conference on Human Factors in Computing Systems (2016) 

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