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Human Pose Transfer with Disentangled Feature Consistency


Jul 23, 2021
Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding

* 11 pages, 5 figures 

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Unsupervised Path Representation Learning with Curriculum Negative Sampling


Jun 17, 2021
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang

* This paper has been accepted by IJCAI-21 

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Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction


Jun 16, 2021
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang


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Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction


Jun 08, 2021
Hangrui Bi, Hengyi Wang, Chence Shi, Connor Coley, Jian Tang, Hongyu Guo


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Self-supervised Graph-level Representation Learning with Local and Global Structure


Jun 08, 2021
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang

* Accepted as Short Talk at International Conference on Machine Learning (ICML), 2021 

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Learning Gradient Fields for Molecular Conformation Generation


Jun 07, 2021
Chence Shi, Shitong Luo, Minkai Xu, Jian Tang

* ICML 2021, Long talk 

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An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming


Jun 02, 2021
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli, Jian Tang

* Accepted by ICML 2021 

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Learning Neural Generative Dynamics for Molecular Conformation Generation


Feb 28, 2021
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang

* Accepted by ICLR 2021 

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Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?


Feb 19, 2021
Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang


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Towards Generalized Implementation of Wasserstein Distance in GANs


Jan 12, 2021
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu

* Accepted by AAAI 2021 

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Non-autoregressive electron flow generation for reaction prediction


Dec 16, 2020
Hangrui Bi, Hengyi Wang, Chence Shi, Jian Tang


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Utilising Graph Machine Learning within Drug Discovery and Development


Dec 09, 2020
Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King

* 19 pages, 8 figures 

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Sobolev Wasserstein GAN


Dec 07, 2020
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu

* Accepted by AAAI 2021 

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Fast Object Detection with Latticed Multi-Scale Feature Fusion


Nov 05, 2020
Yue Shi, Bo Jiang, Zhengping Che, Jian Tang

* The first two authors contributed equally to this work 

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Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction


Nov 05, 2020
Xuanzhao Wang, Zhengping Che, Ke Yang, Bo Jiang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi


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DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search


Nov 04, 2020
Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang


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COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing


Oct 30, 2020
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Pal, Joanna Merckx, Eilif B. Muller, Yoshua Bengio


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$P^2$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation


Oct 26, 2020
Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He

* Accepted by ICPR2020. arXiv admin note: text overlap with arXiv:2003.07516 

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XLVIN: eXecuted Latent Value Iteration Nets


Oct 25, 2020
Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić

* NeurIPS 2020 Deep Reinforcement Learning Workshop 

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Towards Interpretable Natural Language Understanding with Explanations as Latent Variables


Oct 24, 2020
Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang


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Iterative Graph Self-Distillation


Oct 23, 2020
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing


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Predicting Infectiousness for Proactive Contact Tracing


Oct 23, 2020
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams


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Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control


Oct 16, 2020
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye


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RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs


Oct 08, 2020
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang


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Graph neural induction of value iteration


Sep 26, 2020
Andreea Deac, Pierre-Luc Bacon, Jian Tang

* ICML GRL+ 2020 

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Differentiable Feature Aggregation Search for Knowledge Distillation


Aug 02, 2020
Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang

* A feature distillation method via differentiable architecture search 

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GRADE: Graph Dynamic Embedding


Jul 16, 2020
Simeon Spasov, Alessandro Di Stefano, Pietro Lio, Jian Tang


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