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Learning to Improve Code Efficiency


Aug 09, 2022
Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan


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Learning Temporal Rules from Noisy Timeseries Data


Feb 11, 2022
Karan Samel, Zelin Zhao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan Essa, Le Song

* 19 pages, 5 figures 

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ProTo: Program-Guided Transformer for Program-Guided Tasks


Oct 16, 2021
Zelin Zhao, Karan Samel, Binghong Chen, Le Song

* Accepted in NeurIPS 2021 

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Graph Contrastive Pre-training for Effective Theorem Reasoning


Aug 24, 2021
Zhaoyu Li, Binghong Chen, Xujie Si


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BioNavi-NP: Biosynthesis Navigator for Natural Products


May 26, 2021
Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu

* 14 pages 

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Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients


Apr 27, 2021
Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino

* Accepted by IJCNN 2021 

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How to Design Sample and Computationally Efficient VQA Models


Mar 22, 2021
Karan Samel, Zelin Zhao, Binghong Chen, Kuan Wang, Robin Luo, Le Song

* 20 pages, 5 figures 

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Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search


Jun 29, 2020
Binghong Chen, Chengtao Li, Hanjun Dai, Le Song

* Presented at ICML 2020 

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