Dinghan Shen

According to our database1, Dinghan Shen authored at least 42 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
What Makes Good In-Context Examples for GPT-3?
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.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization.
CoRR, 2021

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding.
Proceedings of the 9th International Conference on Learning Representations, 2021

MixKD: Towards Efficient Distillation of Large-scale Language Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Syntactic Knowledge-Infused Transformer and BERT Models.
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.
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.
PhD thesis, 2020

Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model.
CoRR, 2020

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation.
CoRR, 2020

Improving Text Generation with Student-Forcing Optimal Transport.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generative Semantic Hashing Enhanced via Boltzmann Machines.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Adversarial Text Generation by Modeling the Distant Future.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance.
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.
CoRR, 2019

Straight-Through Estimator as Projected Wasserstein Gradient Flow.
CoRR, 2019

Topic-Guided Variational Autoencoders for Text Generation.
CoRR, 2019

Topic-Guided Variational Auto-Encoder for Text Generation.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019

An End-to-End Generative Architecture for Paraphrase Generation.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Syntax-Infused Variational Autoencoder for Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Compressed Sentence Representations for On-Device Text Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Textual Network Embedding with Global Attention via Optimal Transport.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Sequence Generation with Guider Network.
CoRR, 2018

Adversarial Text Generation via Feature-Mover's Distance.
CoRR, 2018

Parametric t-Distributed Stochastic Exemplar-Centered Embedding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Diffusion Maps for Textual Network Embedding.
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.
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.
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.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Topic Compositional Neural Language Model.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Joint Embedding of Words and Labels for Text Classification.
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.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Deconvolutional Latent-Variable Model for Text Sequence Matching.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Video Generation From Text.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Adaptive Convolutional Filter Generation for Natural Language Understanding.
CoRR, 2017

Deconvolutional Paragraph Representation Learning.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017


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