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Model-Based Counterfactual Synthesizer for Interpretation


Jun 16, 2021
Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu

* 11 pages in total; To appear in KDD'21; 

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DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning


Jun 11, 2021
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

* Accepted by ICML 2021 

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Simplifying Deep Reinforcement Learning via Self-Supervision


Jun 10, 2021
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu


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A General Taylor Framework for Unifying and Revisiting Attribution Methods


May 28, 2021
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu


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Learning Disentangled Representations for Time Series


May 21, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu


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Interpretable Time-series Representation Learning With Multi-Level Disentanglement


May 17, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu


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Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution


Apr 14, 2021
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu


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DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization


Mar 26, 2021
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu


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Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models


Mar 18, 2021
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu

* Accepted by NAACL 2021 

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Model Complexity of Deep Learning: A Survey


Mar 08, 2021
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian


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Dynamic Memory based Attention Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu


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Sparse-Interest Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu


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Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments


Feb 04, 2021
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu

* Accepted by ICLR 2021 

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Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation


Jan 18, 2021
Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu


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Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection


Nov 17, 2020
Ruixiang Tang, Mengnan Du, Xia Hu


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Towards Interaction Detection Using Topological Analysis on Neural Networks


Nov 04, 2020
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting Hsiang Wang, Ying Shan, Xia Hu


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Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection


Oct 29, 2020
Imtiaz Ahmed, Travis Galoppo, Xia Hu, Yu Ding


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TODS: An Automated Time Series Outlier Detection System


Sep 18, 2020
Kwei-Harng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu

* Under Review 

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Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability


Sep 16, 2020
Ninghao Liu, Yunsong Meng, Xia Hu, Tie Wang, Bo Long


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Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning


Sep 16, 2020
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu

* Accepted by ICDM 2020 

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A Unified Taylor Framework for Revisiting Attribution Methods


Aug 21, 2020
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu


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Explainable Recommender Systems via Resolving Learning Representations


Aug 21, 2020
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi


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Machine Learning Explanations to Prevent Overtrust in Fake News Detection


Jul 27, 2020
Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric Ragan


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Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction


Jun 29, 2020
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu


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AutoRec: An Automated Recommender System


Jun 26, 2020
Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu


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Policy-GNN: Aggregation Optimization for Graph Neural Networks


Jun 26, 2020
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu

* Accepted by ACM SIGKDD'20 research track 

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AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning


Jun 19, 2020
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu


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