Dinghan Shen
30 papers · 2017–2022 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🌍
Conference Polyglot
(9)
🤝
Dynamic Duo
(23)
🌱
Topic Pioneer
🏆
Keyword Champion
(2)
❓
The Questioner
📈
Trend Setter
⚡
Prolific Year
(8)
🗃️
Keyword Collector
(140)
🔥
Unstoppable
(6)
💎
Century Club
(30)
Conferences
ACL (12)
EMNLP (5)
ICLR (3)
IJCNLP (3)
NIPS (3)
AISTATS (1)
CVPR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
text generation
(7)
variational autoencoder
(4)
optimal transport
(3)
binary code
(3)
imitation learning
(3)
text classification
(3)
latent representation
(2)
semantic hashing
(2)
latent variable
(2)
representation learning
(2)
paraphrase generation
(2)
vertex classification
(2)
graph representation
(2)
link prediction
(2)
information retrieval
(2)
attention mechanism
(2)
adversarial training
(2)
data augmentation
(2)
variational inference
(2)
out-of-distribution generalization
(2)
Papers
What Makes Good In-Context Examples for GPT-3?
ACL 2022
MixKD: Towards Efficient Distillation of Large-scale Language Models
ICLR 2021
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
ICLR 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability
IJCNLP 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability
ACL 2021
Generative Semantic Hashing Enhanced via Boltzmann Machines
ACL 2020
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
ACL 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Improving Adversarial Text Generation by Modeling the Distant Future
ACL 2020
Syntax-Infused Variational Autoencoder for Text Generation
ACL 2019
Document Hashing with Mixture-Prior Generative Models
EMNLP 2019
An End-to-End Generative Architecture for Paraphrase Generation
EMNLP 2019
Improving Sequence-to-Sequence Learning via Optimal Transport
ICLR 2019
An End-to-End Generative Architecture for Paraphrase Generation
IJCNLP 2019
Document Hashing with Mixture-Prior Generative Models
IJCNLP 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
ACL 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
ACL 2019
Topic-Guided Variational Auto-Encoder for Text Generation
NAACL 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
CVPR 2019
Learning Compressed Sentence Representations for On-Device Text Processing
ACL 2019
Topic Compositional Neural Language Model
AISTATS 2018
Adversarial Text Generation via Feature-Mover's Distance
NIPS 2018
Diffusion Maps for Textual Network Embedding
NIPS 2018
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
ACL 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
ACL 2018
Joint Embedding of Words and Labels for Text Classification
ACL 2018
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
EMNLP 2018
Learning Context-Sensitive Convolutional Filters for Text Processing
EMNLP 2018
Adversarial Feature Matching for Text Generation
ICML 2017
Deconvolutional Paragraph Representation Learning
NIPS 2017