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PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning



Hanhan Zhou , Tian Lan , Vaneet Aggarwal

* Preprint, under review 

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Language Models Can See: Plugging Visual Controls in Text Generation



Yixuan Su , Tian Lan , Yahui Liu , Fangyu Liu , Dani Yogatama , Yan Wang , Lingpeng Kong , Nigel Collier

* 20 pages, 5 figures, 5 tables 

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Cross-Lingual Phrase Retrieval



Heqi Zheng , Xiao Zhang , Zewen Chi , Heyan Huang , Tan Yan , Tian Lan , Wei Wei , Xian-Ling Mao


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SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications



Yuzhu Mao , Zihao Zhao , Meilin Yang , Le Liang , Yang Liu , Wenbo Ding , Tian Lan , Xiao-Ping Zhang


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Efficient Video Instance Segmentation via Tracklet Query and Proposal



Jialian Wu , Sudhir Yarram , Hui Liang , Tian Lan , Junsong Yuan , Jayan Eledath , Gerard Medioni

* Accepted to CVPR 2022 

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A Contrastive Framework for Neural Text Generation



Yixuan Su , Tian Lan , Yan Wang , Dani Yogatama , Lingpeng Kong , Nigel Collier

* 22 pages, 8 figures, and 8 tables 

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On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning



Hanhan Zhou , Tian Lan , Guru Venkataramani , Wenbo Ding


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Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs



Jiayu Chen , Jingdi Chen , Tian Lan , Vaneet Aggarwal

* This paper is presented in part at the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2022 

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Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients



Hanhan Zhou , Tian Lan , Vaneet Aggarwal


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PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer



Hanhan Zhou , Tian Lan , Guru Venkataramani

* Short Version with 4 pages 

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