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Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents


Aug 04, 2022
Xuting Tang, Jia Xu, Shusen Wang

* 10 pages, 7 figures 

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Analyzing Encoded Concepts in Transformer Language Models


Jun 27, 2022
Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Firoj Alam, Abdul Rafae Khan, Jia Xu

* 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics 
* 20 pages, 10 figures 

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Discovering Latent Concepts Learned in BERT


May 15, 2022
Fahim Dalvi, Abdul Rafae Khan, Firoj Alam, Nadir Durrani, Jia Xu, Hassan Sajjad

* ICLR 2022 

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Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace


Feb 10, 2022
Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu

* submitted to KDD'22 

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Itinerary-aware Personalized Deep Matching at Fliggy


Aug 05, 2021
Jia Xu, Ziyi Wang, Zulong Chen, Detao Lv, Yao Yu, Chuanfei Xu

* 12 pages 

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Interpreting Criminal Charge Prediction and Its Algorithmic Bias via Quantum-Inspired Complex Valued Networks


Jul 14, 2021
Abdul Rafae Khan, Jia Xu, Peter Varsanyi, Rachit Pabreja

* First two authors alphabetically ordered 

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Deep Interpretable Criminal Charge Prediction and Algorithmic Bias


Jun 25, 2021
Abdul Rafae Khan, Jia Xu, Peter Varsanyi, Rachit Pabreja

* First two authors alphabetically ordered 

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Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation


Jun 08, 2021
Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu

* TPAMI 2021 

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Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling


Mar 26, 2021
Zhichao Huang, Xintong Han, Jia Xu, Tong Zhang

* CVPR 2021 

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Learning 3D Face Reconstruction with a Pose Guidance Network


Oct 09, 2020
Pengpeng Liu, Xintong Han, Michael Lyu, Irwin King, Jia Xu

* ACCV 2020 (Oral) 

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