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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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Contextualized Perturbation for Textual Adversarial Attack

Sep 16, 2020
Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan


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Weakly supervised cross-domain alignment with optimal transport

Aug 14, 2020
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

* Accepted to BMVC 2020 (Oral) 

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Graph Optimal Transport for Cross-Domain Alignment

Jun 29, 2020
Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

* ICML 2020 

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Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

Nov 20, 2019
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin

* Accepted by AAAI-2020 

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Improving Textual Network Learning with Variational Homophilic Embeddings

Sep 30, 2019
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

* Accepted to NeurIPS 2019 

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LMVP: Video Predictor with Leaked Motion Information

Jun 24, 2019
Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin


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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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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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Continuous-Time Flows for Efficient Inference and Density Estimation

Aug 01, 2018
Changyou Chen, Chunyuan Li, Liqun Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin

* ICML 2018 (fixed a reference) 

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A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

Jul 10, 2018
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen

* UAI 2018 

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Triangle Generative Adversarial Networks

Nov 18, 2017
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

* To appear in NIPS 2017 

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Adversarial Symmetric Variational Autoencoder

Nov 18, 2017
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin

* Accepted to NIPS 2017 

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ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Nov 05, 2017
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

* NIPS 2017 (22 pages); short version (9 pages): http://people.duke.edu/~cl319/doc/papers/nips_2017_alice.pdf 

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Symmetric Variational Autoencoder and Connections to Adversarial Learning

Oct 19, 2017
Liqun Chen, Shuyang Dai, Yunchen Pu, Chunyuan Li, Qinliang Su, Lawrence Carin


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