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Compositional Transformers for Scene Generation


Nov 17, 2021
Drew A. Hudson, C. Lawrence Zitnick

* Published as a conference paper at NeurIPS 2021 

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Rotation Invariant Graph Neural Networks using Spin Convolutions


Jun 17, 2021
Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary Ulissi, C. Lawrence Zitnick

* 13 pages 

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Generative Adversarial Transformers


Mar 02, 2021
Drew A. Hudson, C. Lawrence Zitnick


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ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations


Mar 02, 2021
Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick


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Creative Sketch Generation


Nov 19, 2020
Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh


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The Open Catalyst 2020 (OC20) Dataset and Community Challenges


Oct 20, 2020
Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary Ulissi

* 28 pages, 10 figures, submitted to ACS Catalysis 

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An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage


Oct 14, 2020
C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon Wood, Junwoong Yoon, Devi Parikh, Zachary Ulissi

* 27 pages 

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Exploring Crowd Co-creation Scenarios for Sketches


May 22, 2020
Devi Parikh, C. Lawrence Zitnick


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End-to-End Variational Networks for Accelerated MRI Reconstruction


Apr 15, 2020
Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia Johnson


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Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge


Jan 06, 2020
Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht


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GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction


Nov 04, 2019
Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson


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Why Build an Assistant in Minecraft?


Jul 25, 2019
Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston


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CraftAssist: A Framework for Dialogue-enabled Interactive Agents


Jul 19, 2019
Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam


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ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero


Feb 13, 2019
Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, C. Lawrence Zitnick


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fastMRI: An Open Dataset and Benchmarks for Accelerated MRI


Nov 21, 2018
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

* 29 pages, 8 figures 

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ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games


Nov 10, 2017
Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, C. Lawrence Zitnick

* NIPS 2017 oral 

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Inferring and Executing Programs for Visual Reasoning


May 10, 2017
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick


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CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning


Dec 20, 2016
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick


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VQA: Visual Question Answering


Oct 27, 2016
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Dhruv Batra, Devi Parikh

* The first three authors contributed equally. International Conference on Computer Vision (ICCV) 2015 

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Measuring Machine Intelligence Through Visual Question Answering


Aug 31, 2016
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh

* AI Magazine, 2016 

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Shuffle and Learn: Unsupervised Learning using Temporal Order Verification


Jul 26, 2016
Ishan Misra, C. Lawrence Zitnick, Martial Hebert

* Accepted at ECCV 2016 

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Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?


Jun 17, 2016
Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra

* 5 pages, 4 figures, 3 tables, presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY. arXiv admin note: substantial text overlap with arXiv:1606.03556 

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We Are Humor Beings: Understanding and Predicting Visual Humor


May 05, 2016
Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

* 17 pages, 16 figures, 3 tables 

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Visual Storytelling


Apr 13, 2016
Ting-Hao, Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

* to appear in NAACL 2016 

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Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels


Apr 12, 2016
Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross Girshick

* To appear in CVPR 2016 

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Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks


Dec 14, 2015
Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross Girshick


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