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Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

Jun 06, 2020
Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

* Accepted by the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020) 

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S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation

May 23, 2020
Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf

* to appear in CVPR2020 

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Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective

Sep 13, 2019
Kai Li, Martin Renqiang Min, Yun Fu

* Accepted to ICCV 2019 

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A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction

May 13, 2019
Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han

* Proceedings of the 2019 SIAM International Conference on Data Mining 
* https://epubs.siam.org/doi/abs/10.1137/1.9781611975673.12 

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Disentangled Deep Autoencoding Regularization for Robust Image Classification

Feb 27, 2019
Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni

* 9 pages 

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Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding

Dec 09, 2018
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus

* 9 pages 

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Learning Context-Sensitive Convolutional Filters for Text Processing

Aug 30, 2018
Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin

* Accepted by EMNLP 2018 as a full paper 

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Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations

Jun 21, 2018
Ting Chen, Martin Renqiang Min, Yizhou Sun

* ICML 2018. arXiv admin note: text overlap with arXiv:1711.03067 

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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

May 24, 2018
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

* To appear at ACL 2018 (code: https://github.com/dinghanshen/SWEM

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Parametric t-Distributed Stochastic Exemplar-centered Embedding

Apr 20, 2018
Martin Renqiang Min, Hongyu Guo, Dinghan Shen

* fixed typos 

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Convolutional Neural Knowledge Graph Learning

Mar 29, 2018
Feipeng Zhao, Martin Renqiang Min, Chen Shen, Amit Chakraborty

* evaluation mistake 

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Learning K-way D-dimensional Discrete Code For Compact Embedding Representations

Dec 10, 2017
Ting Chen, Martin Renqiang Min, Yizhou Sun

* NIPS'17 DISCML 

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Adaptive Feature Abstraction for Translating Video to Text

Nov 17, 2017
Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin

* Accepted to AAAI 2018 

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A Context-aware Attention Network for Interactive Question Answering

Sep 03, 2017
Huayu Li, Martin Renqiang Min, Yong Ge, Asim Kadav

* 9 pages 

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Exemplar-Centered Supervised Shallow Parametric Data Embedding

Jul 05, 2017
Martin Renqiang Min, Hongyu Guo, Dongjin Song

* accepted to IJCAI2017 

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Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent

Mar 28, 2017
Linnan Wang, Yi Yang, Martin Renqiang Min, Srimat Chakradhar

* The patent of ISGD belongs to NEC Labs 

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A Shallow High-Order Parametric Approach to Data Visualization and Compression

Aug 16, 2016
Martin Renqiang Min, Hongyu Guo, Dongjin Song


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A Deep Learning Model for Structured Outputs with High-order Interaction

Apr 29, 2015
Hongyu Guo, Xiaodan Zhu, Martin Renqiang Min


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Large-Margin kNN Classification Using a Deep Encoder Network

Jun 09, 2009
Martin Renqiang Min, David A. Stanley, Zineng Yuan, Anthony Bonner, Zhaolei Zhang

* 13 pages (preliminary version) 

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