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Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning


Aug 26, 2022
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Hu

* Accepted by CIKM 2022 

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Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey


Aug 25, 2022
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu


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AutoShard: Automated Embedding Table Sharding for Recommender Systems


Aug 12, 2022
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu

* Accepted by KDD 2022. Code available at https://github.com/daochenzha/autoshard 

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Towards Memory Efficient Training via Dual Activation Precision


Aug 05, 2022
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu


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Differentially Private Counterfactuals via Functional Mechanism


Aug 04, 2022
Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu


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Mitigating Algorithmic Bias with Limited Annotations


Jul 20, 2022
Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Hu


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Fair Machine Learning in Healthcare: A Review


Jun 29, 2022
Qizhang Feng, Mengnan Du, Na Zou, Xia Hu


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Accelerating Shapley Explanation via Contributive Cooperator Selection


Jun 17, 2022
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu


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Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture


May 27, 2022
Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu


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G-Mixup: Graph Data Augmentation for Graph Classification


Feb 16, 2022
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu


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