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CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding

Oct 16, 2020
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen


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Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model

Oct 14, 2020
Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao


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Improving Text Generation with Student-Forcing Optimal Transport

Oct 12, 2020
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin

* To appear at EMNLP 2020 

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A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

Sep 29, 2020
Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen


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Generative Semantic Hashing Enhanced via Boltzmann Machines

Jun 16, 2020
Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen


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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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Improving Adversarial Text Generation by Modeling the Distant Future

May 04, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

* ACL 2020. arXiv admin note: substantial text overlap with arXiv:1811.00696 

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Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding

Nov 10, 2019
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin


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Straight-Through Estimator as Projected Wasserstein Gradient Flow

Oct 05, 2019
Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin

* Accepted as NeurIPS 2018 Bayesian Deep Learning Workshop 

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Document Hashing with Mixture-Prior Generative Models

Aug 29, 2019
Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen

* 10 pages, 8 figures, to appear at EMNLP-IJCNLP 2019 

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Learning Compressed Sentence Representations for On-Device Text Processing

Jun 19, 2019
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin

* To appear at ACL 2019 

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Syntax-Infused Variational Autoencoder for Text Generation

Jun 05, 2019
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin

* Accepted by ACL 2019 

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Improving Textual Network Embedding with Global Attention via Optimal Transport

Jun 05, 2019
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin


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Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Apr 06, 2019
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang

* CVPR 2019 Oral 

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Topic-Guided Variational Autoencoders for Text Generation

Mar 17, 2019
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin


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Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models

Feb 01, 2019
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin


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Improving Sequence-to-Sequence Learning via Optimal Transport

Jan 18, 2019
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin


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Sequence Generation with Guider Network

Nov 02, 2018
Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin


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Adversarial Text Generation via Feature-Mover's Distance

Sep 17, 2018
Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin


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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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Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment

Aug 29, 2018
Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

* To appear at EMNLP 2018 

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Diffusion Maps for Textual Network Embedding

May 24, 2018
Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin


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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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NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing

May 14, 2018
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

* To appear at ACL 2018 

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Joint Embedding of Words and Labels for Text Classification

May 10, 2018
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

* Published in ACL 2018; Code: https://github.com/guoyinwang/LEAM 

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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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Topic Compositional Neural Language Model

Feb 26, 2018
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

* To appear in AISTATS 2018, updated version 

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