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Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation


Aug 05, 2022
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates

* 11 pages, 7 figures 

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Gradient-based Bi-level Optimization for Deep Learning: A Survey


Aug 04, 2022
Can, Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu

* AI4Science; Bi-level Optimization; Hyperparameter Optimization; Meta Learning; Implicit Function 

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Confidence-Guided Unsupervised Domain Adaptation for Cerebellum Segmentation


Jun 14, 2022
Xuan Li, Paule-J Toussaint, Alan Evans, Xue Liu


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Unbiased Implicit Feedback via Bi-level Optimization


May 31, 2022
Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu


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Joint Multisided Exposure Fairness for Recommendation


Apr 29, 2022
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu


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Structure-aware Protein Self-supervised Learning


Apr 06, 2022
Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou

* 7 pages and 4 figures 

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Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey


Mar 27, 2022
Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu

* Optimize title for better visibility 

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Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods


Nov 20, 2021
Yang Hu, Zhui Zhu, Sirui Song, Xue Liu, Yang Yu

* Accepted to NeurIPS'2021 PERLS Workshop 

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Generalized Data Weighting via Class-level Gradient Manipulation


Oct 29, 2021
Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou

* 17 pages, 8 figures, accepted by NeurIPS 2021 for a poster session, camera-ready version, initial submission to arXiv 

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Learning Multi-Objective Curricula for Deep Reinforcement Learning


Oct 06, 2021
Jikun Kang, Miao Liu, Abhinav Gupta, Chris Pal, Xue Liu, Jie Fu


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