Shen, Dinghan

11 publications

ICLR 2021 CoDA: Contrast-Enhanced and Diversity-Promoting Data Augmentation for Natural Language Understanding Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han

ICLR 2021 MixKD: Towards Efficient Distillation of Large-Scale Language Models Kevin J Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin

ICLR 2019 Improving Sequence-to-Sequence Learning via Optimal Transport Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin

NeurIPS 2018 Adversarial Text Generation via Feature-Mover's Distance Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin

AAAI 2018 Deconvolutional Latent-Variable Model for Text Sequence Matching Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin

NeurIPS 2018 Diffusion Maps for Textual Network Embedding Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin

ECML-PKDD 2018 Parametric T-Distributed Stochastic Exemplar-Centered Embedding Martin Renqiang Min, Hongyu Guo, Dinghan Shen

AISTATS 2018 Topic Compositional Neural Language Model Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

AAAI 2018 Video Generation from Text Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin

ICML 2017 Adversarial Feature Matching for Text Generation Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin

NeurIPS 2017 Deconvolutional Paragraph Representation Learning Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin