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Extreme Zero-Shot Learning for Extreme Text Classification


Dec 16, 2021
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit Dhillon

* Our code is available at https://github.com/amzn/pecos/tree/mainline/examples/MACLR 

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Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction


Oct 29, 2021
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S Dhillon


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Label Disentanglement in Partition-based Extreme Multilabel Classification


Jun 24, 2021
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon


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Extreme Multi-label Learning for Semantic Matching in Product Search


Jun 23, 2021
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon

* Accepted in KDD 2021 Applied Data Science Track 

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Kernel Stein Generative Modeling


Jul 06, 2020
Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang


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Explainable Unsupervised Change-point Detection via Graph Neural Networks


Apr 24, 2020
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang

* 15 pages, 8 figures 

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Pre-training Tasks for Embedding-based Large-scale Retrieval


Feb 10, 2020
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar

* Accepted by ICLR 2020 

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XL-Editor: Post-editing Sentences with XLNet


Oct 19, 2019
Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang

* Under review 

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A Modular Deep Learning Approach for Extreme Multi-label Text Classification


May 07, 2019
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit Dhillon


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Implicit Kernel Learning


Feb 26, 2019
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnab谩s P贸czos

* In the Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019) 

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Kernel Change-point Detection with Auxiliary Deep Generative Models


Jan 18, 2019
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnab谩s P贸czos

* To appear in ICLR 2019 

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Contextual Encoding for Translation Quality Estimation


Sep 01, 2018
Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig

* 6 pages, 2018 Third Conference on Machine Translation (WMT18) 

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The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints


Jul 04, 2018
Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter


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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks


Apr 18, 2018
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu

* Accepted by SIGIR 2018 

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MMD GAN: Towards Deeper Understanding of Moment Matching Network


Nov 27, 2017
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnab谩s P贸czos

* In the Proceedings of Thirty-first Annual Conference on Neural Information Processing Systems (NIPS 2017) 

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Data-driven Random Fourier Features using Stein Effect


May 23, 2017
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabas Poczos

* To appear in International Joint Conference on Artificial Intelligence (IJCAI), 2017 

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