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Transferring Fairness under Distribution Shifts via Fair Consistency Regularization


Jun 26, 2022
Bang An, Zora Che, Mucong Ding, Furong Huang

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HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data


Mar 07, 2022
Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li

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* 9 pages, 2022 SIAM International Conference on Data Mining 

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Understanding the Generalization Benefit of Model Invariance from a Data Perspective


Nov 10, 2021
Sicheng Zhu, Bang An, Furong Huang

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* Accepted to NeurIPS 2021 

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Adaptive Transfer Learning on Graph Neural Networks


Jul 20, 2021
Xueting Han, Zhenhuan Huang, Bang An, Jing Bai

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Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference


Sep 20, 2020
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen

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* accepted by EMNLP2020 

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Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints


May 03, 2020
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen

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* Accepted at ACL2020 

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Guess First to Enable Better Compression and Adversarial Robustness


Jan 10, 2020
Sicheng Zhu, Bang An, Shiyu Niu

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* Accepted by NeurIPS 2019 workshop on Information Theory and Machine Learning 

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