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
Structure-Aware Human-Action Generation

Jul 16, 2020
Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen

* accepted by ECCV 2020 

  Access Model/Code and Paper
Generative Semantic Hashing Enhanced via Boltzmann Machines

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

  Access Model/Code and Paper
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition

Jun 06, 2020
Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren

  Access Model/Code and Paper
Graph Neural Networks with Composite Kernels

May 16, 2020
Yufan Zhou, Jiayi Xian, Changyou Chen, Jinhui Xu

  Access Model/Code and Paper
Reward Constrained Interactive Recommendation with Natural Language Feedback

May 04, 2020
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin

* Appeared in NeurIPS 2019; Updated version 

  Access Model/Code and Paper
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 Model/Code and Paper
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints

May 03, 2020
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen

* Accepted at ACL2020 

  Access Model/Code and Paper
Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning

Apr 22, 2020
Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen

  Access Model/Code and Paper
Decomposed Adversarial Learned Inference

Apr 21, 2020
Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao

  Access Model/Code and Paper
Feature Quantization Improves GAN Training

Apr 05, 2020
Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen

* The first two authors contributed equally to this manuscript. Code: 

  Access Model/Code and Paper
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 Model/Code and Paper
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

Dec 21, 2019
Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen

* AAAI 2020 

  Access Model/Code and Paper
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling

Dec 02, 2019
Yufan Zhou, Changyou Chen, Jinhui Xu

  Access Model/Code and Paper
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution

Nov 25, 2019
Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xiang Zhou

* 12 pages, 10 figures, 2 tables 

  Access Model/Code and Paper
Implicit Deep Latent Variable Models for Text Generation

Sep 18, 2019
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen

* 13 pages, 8 Tables, 1 Figure, Accepted at 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) 

  Access Model/Code and Paper
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 

  Access Model/Code and Paper
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation

Jun 24, 2019
Jun Wen, Nenggan Zheng, Junsong Yuan, Zhefeng Gong, Changyou Chen

* IJCAI-2019 Accepted 

  Access Model/Code and Paper
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 Model/Code and Paper
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 Model/Code and Paper
Scalable Thompson Sampling via Optimal Transport

Feb 19, 2019
Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin

* Infer to Control Workshop on Probabilistic Reinforcement Learning and Structured Control at NIPS 2018; Long version accepted by AISTATS 2019 

  Access Model/Code and Paper
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Feb 11, 2019
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson

  Access Model/Code and Paper
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

  Access Model/Code and Paper
Adversarial Learning of a Sampler Based on an Unnormalized Distribution

Jan 03, 2019
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin

* Published in AISTATS 2019; Code: 

  Access Model/Code and Paper
Learning Saliency Maps for Adversarial Point-Cloud Generation

Nov 28, 2018
Tianhang Zheng, Changyou Chen, Junsong yuan, Kui Ren

  Access Model/Code and Paper
Self-Adversarially Learned Bayesian Sampling

Nov 21, 2018
Yang Zhao, Jianyi Zhang, Changyou Chen

* AAAI 2019 

  Access Model/Code and Paper
Variance Reduction in Stochastic Particle-Optimization Sampling

Nov 20, 2018
Jianyi Zhang, Yang Zhao, Changyou Chen

  Access Model/Code and Paper
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 Model/Code and Paper