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Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction


Sep 15, 2022
Chen Liang, Bowen Wang, Shaogang Hao, Guangyong Chen, Pheng-Ann Heng, Xiaolong Zou

* 22 pages, 3 figures, 2 tables 

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PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance


Jun 25, 2022
Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao

* Proceedings of the 39th International Conference on Machine Learning (ICML 2022) 

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MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation


Apr 28, 2022
Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen

* NAACL 2022 

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CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing


Apr 18, 2022
Chen Liang, Pengcheng He, Yelong Shen, Weizhu Chen, Tuo Zhao

* Proceedings of ACL 2022 

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The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink


Apr 11, 2022
David Patterson, Joseph Gonzalez, Urs Hölzle, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, Jeff Dean


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Visual Abductive Reasoning


Mar 26, 2022
Chen Liang, Wenguan Wang, Tianfei Zhou, Yi Yang

* CVPR2022; Code, data: https://github.com/leonnnop/VAR 

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Local-Global Context Aware Transformer for Language-Guided Video Segmentation


Mar 18, 2022
Chen Liang, Wenguan Wang, Tianfei Zhou, Jiaxu Miao, Yawei Luo, Yi Yang

* Code, data: https://github.com/leonnnop/Locater 

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Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast


Feb 18, 2022
Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani

* 30 pages, 4 figures, 4 tables. Manuscript in submission 

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