Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Nested-Wasserstein Self-Imitation Learning for Sequence Generation

Jan 20, 2020
Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin

* Accepted by AISTATS2020 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Collaborative Filtering with A Synthetic Feedback Loop

Oct 21, 2019
Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin


  Access Paper or Ask Questions

An Optimal Transport Framework for Zero-Shot Learning

Oct 20, 2019
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Ouroboros: On Accelerating Training of Transformer-Based Language Models

Sep 14, 2019
Qian Yang, Zhouyuan Huo, Wenlin Wang, Heng Huang, Lawrence Carin

* To appear in the proceedings of Neural Information Processing Systems Conference (2019) 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

On Norm-Agnostic Robustness of Adversarial Training

May 15, 2019
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin

* 4 pages, 2 figures, presented at the ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning. arXiv admin note: text overlap with arXiv:1809.03113 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Sequence Generation with Guider Network

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


  Access Paper or Ask Questions

Distilled Wasserstein Learning for Word Embedding and Topic Modeling

Sep 12, 2018
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin


  Access Paper or Ask Questions

Second-Order Adversarial Attack and Certifiable Robustness

Sep 10, 2018
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

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

* UAI 2018 

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Wide Compression: Tensor Ring Nets

Feb 25, 2018
Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal

* Accepted to CVPR 2018 

  Access Paper or Ask Questions

InverseNet: Solving Inverse Problems with Splitting Networks

Dec 01, 2017
Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine Heller


  Access Paper or Ask Questions

Zero-Shot Learning via Class-Conditioned Deep Generative Models

Nov 19, 2017
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

* To appear in AAAI 2018 

  Access Paper or Ask Questions

A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC

Sep 04, 2017
Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin


  Access Paper or Ask Questions

Earliness-Aware Deep Convolutional Networks for Early Time Series Classification

Nov 14, 2016
Wenlin Wang, Changyou Chen, Wenqi Wang, Piyush Rai, Lawrence Carin


  Access Paper or Ask Questions