Dinghan Shen

According to our database, Dinghan Shen authored at least 42 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

What Makes Good In-Context Examples for GPT-3?

Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen

Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

2021

Vision-Language Navigation Policy Learning and Adaptation.

Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization.

Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang

CoRR, 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

Proceedings of the 9th International Conference on Learning Representations, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Syntactic Knowledge-Infused Transformer and BERT Models.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability.

Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Deep Latent-Variable Models for Natural Language Understanding and Generation.

Dinghan Shen

PhD thesis, 2020

Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model.

Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao

CoRR, 2020

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation.

Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen

CoRR, 2020

Improving Text Generation with Student-Forcing Optimal Transport.

Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generative Semantic Hashing Enhanced via Boltzmann Machines.

Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Adversarial Text Generation by Modeling the Distant Future.

Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance.

Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

CoRR, 2019

Straight-Through Estimator as Projected Wasserstein Gradient Flow.

Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin

CoRR, 2019

Topic-Guided Variational Autoencoders for Text Generation.

Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin

CoRR, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.

Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the 7th International Conference on Learning Representations, 2019

An End-to-End Generative Architecture for Paraphrase Generation.

Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Document Hashing with Mixture-Prior Generative Models.

Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation.

Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Syntax-Infused Variational Autoencoder for Text Generation.

Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models.

Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Compressed Sentence Representations for On-Device Text Processing.

Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Textual Network Embedding with Global Attention via Optimal Transport.

Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Sequence Generation with Guider Network.

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

CoRR, 2018

Adversarial Text Generation via Feature-Mover's Distance.

Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin

CoRR, 2018

Parametric t-Distributed Stochastic Exemplar-Centered Embedding.

Martin Renqiang Min, Hongyu Guo, Dinghan Shen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Diffusion Maps for Textual Network Embedding.

Xinyuan Zhang, Yitong Li, Dinghan Shen, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment.

Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Context-Aware Convolutional Filters for Text Processing.

Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Topic Compositional Neural Language Model.

Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Joint Embedding of Words and Labels for Text Classification.

Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.

Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Deconvolutional Latent-Variable Model for Text Sequence Matching.

Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Video Generation From Text.

Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Adaptive Convolutional Filter Generation for Natural Language Understanding.

Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin

CoRR, 2017

Deconvolutional Paragraph Representation Learning.

Yizhe Zhang, Dinghan Shen, Guoyin Wang, Zhe Gan, Ricardo Henao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Feature Matching for Text Generation.

Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin

Proceedings of the 34th International Conference on Machine Learning, 2017