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Learning Manifold Implicitly via Explicit Heat-Kernel Learning

Oct 05, 2020
Yufan Zhou, Changyou Chen, Jinhui Xu

* Accepted by NeurIPS 2020, code will be available at https://github.com/drboog/Heat-Kernel 

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Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

Sep 20, 2020
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen

* accepted by EMNLP2020 

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Structure-Aware Human-Action Generation

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

* accepted by ECCV 2020 

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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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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


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Graph Neural Networks with Composite Kernels

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


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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 

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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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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 

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Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning

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


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Decomposed Adversarial Learned Inference

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


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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: https://github.com/YangNaruto/FQ-GAN 

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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 

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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 

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KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling

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


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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 

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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) 

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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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Bayesian Uncertainty Matching for Unsupervised Domain Adaptation

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

* IJCAI-2019 Accepted 

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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 

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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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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 

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Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

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


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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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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: https://github.com/ChunyuanLI/RAS 

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Learning Saliency Maps for Adversarial Point-Cloud Generation

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


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Self-Adversarially Learned Bayesian Sampling

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

* AAAI 2019 

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