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Distribution Aware Metrics for Conditional Natural Language Generation


Sep 29, 2022
David M Chan, Yiming Ni, David A Ross, Sudheendra Vijayanarasimhan, Austin Myers, John Canny


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LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training


Jul 16, 2022
Sumanth Gurram, Andy Fang, David Chan, John Canny

* Workshop Paper at ICML 2022 

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An Embedding-Dynamic Approach to Self-supervised Learning


Jul 07, 2022
Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, John Canny

* 24 pages, 3 figures, submitted to CVPR 2022 

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Towards Understanding How Machines Can Learn Causal Overhypotheses


Jun 16, 2022
Eliza Kosoy, David M. Chan, Adrian Liu, Jasmine Collins, Bryanna Kaufmann, Sandy Han Huang, Jessica B. Hamrick, John Canny, Nan Rosemary Ke, Alison Gopnik


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Learning Causal Overhypotheses through Exploration in Children and Computational Models


Feb 21, 2022
Eliza Kosoy, Adrian Liu, Jasmine Collins, David M Chan, Jessica B Hamrick, Nan Rosemary Ke, Sandy H Huang, Bryanna Kaufmann, John Canny, Alison Gopnik


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Misinformation Detection in Social Media Video Posts


Feb 15, 2022
Kehan Wang, David Chan, Seth Z. Zhao, John Canny, Avideh Zakhor


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NewsPod: Automatic and Interactive News Podcasts


Feb 15, 2022
Philippe Laban, Elicia Ye, Srujay Korlakunta, John Canny, Marti A. Hearst

* Accepted at IUI 2022, 16 pages, 10 figures 

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Sketch-based Creativity Support Tools using Deep Learning


Nov 19, 2021
Forrest Huang, Eldon Schoop, David Ha, Jeffrey Nichols, John Canny

* Preprint of chapter in published in "Artificial Intelligence for Human Computer Interaction: A Modern Approach". arXiv admin note: substantial text overlap with arXiv:2005.07781 

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Compressive Visual Representations


Sep 29, 2021
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer

* 27 pages, 4 figures, to appear at NeurIPS 2021 

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