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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering


Jul 06, 2021
Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning

* Accepted at ACL-IJCNLP 2021. 17 pages, 16 Figures 

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AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning


Mar 30, 2021
Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala

* 8 pages, 15 pages supplementary, 12 figures. To be published in CVPR 2021 

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Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning


Nov 10, 2020
Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna

* Published at the 6th Workshop on Noisy User-generated Text (W-NUT) 2020 at EMNLP (6 pages, 4 figures) 

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Conceptual Metaphors Impact Perceptions of Human-AI Collaboration


Aug 05, 2020
Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey Hancock, Michael Bernstein

* PACM HCI Volume 4 CSCW 2, 2020 
* CSCW 2020 

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Action Genome: Actions as Composition of Spatio-temporal Scene Graphs


Dec 15, 2019
Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles


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Deep Bayesian Active Learning for Multiple Correct Outputs


Dec 08, 2019
Khaled Jedoui, Ranjay Krishna, Michael Bernstein, Li Fei-Fei

* 18 pages, 9 figures 

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Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction


Jun 14, 2019
Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael Bernstein, Li Fei-Fei

* 15 pages, 8 figures, preprint 

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Scene Graph Prediction with Limited Labels


Apr 25, 2019
Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, Li Fei-Fei

* 10 pages, 9 figures 

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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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Information Maximizing Visual Question Generation


Mar 27, 2019
Ranjay Krishna, Michael Bernstein, Li Fei-Fei

* IEEE Conference on Computer Vision and Pattern Recognition, 2019 
* CVPR 2019 

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The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary


Aug 23, 2018
Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Victor Escorcia, Ranjay Krishna, Shyamal Buch, Cuong Duc Dao

* CVPR Workshop 2018 challenge summary 

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Referring Relationships


Mar 29, 2018
Ranjay Krishna, Ines Chami, Michael Bernstein, Li Fei-Fei

* CVPR 2018, 19 pages, 12 figures, includes supplementary material 

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Dense-Captioning Events in Videos


May 02, 2017
Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles

* 16 pages, 16 figures 

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A Hierarchical Approach for Generating Descriptive Image Paragraphs


Apr 10, 2017
Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei

* CVPR 2017 spotlight 

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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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Visual Relationship Detection with Language Priors


Jul 31, 2016
Cewu Lu, Ranjay Krishna, Michael Bernstein, Li Fei-Fei

* ECCV 2016 Oral 

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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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