Wenlin Wang
20 papers · 2018–2021 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π€ Dynamic Duo (17)
π§
Keyword Pioneer
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Trend Setter
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Renaissance Researcher
(8)
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(106)
Top co-authors
Research topics
Machine Learning
(19)
Deep Learning
(12)
Natural Language Processing
(11)
Core Methods
(10)
Learning Types Β· Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(8)
Generation
(7)
Learning Types Β· Deep Learning
(7)
Models
(6)
Architectures
(5)
Applications
(4)
Optimization & Theory Β· Deep Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Reinforcement Learning
(3)
Keywords
optimal transport
(5)
text generation
(4)
word embedding
(3)
sequence generation
(3)
generative model
(3)
variational autoencoder
(3)
attention mechanism
(2)
network embedding
(2)
textual network
(2)
text classification
(2)
wasserstein distance
(2)
language model
(2)
reinforcement learning
(2)
imitation learning
(2)
machine translation
(2)
graph representation
(2)
topic model
(2)
neural network training
(1)
collaborative filtering
(1)
density estimation
(1)
Papers
Learning to Recommend from Sparse Data via Generative User Feedback
AAAI 2021
Zero-Shot Recognition via Optimal Transport
WACV 2021
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
AAAI 2020
Improving Adversarial Text Generation by Modeling the Distant Future
ACL 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
AISTATS 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
An End-to-End Generative Architecture for Paraphrase Generation
EMNLP 2019
Certified Adversarial Robustness with Additive Noise
NeurIPS 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
ACL 2019
Improving Textual Network Learning with Variational Homophilic Embeddings
NeurIPS 2019
Ouroboros: On Accelerating Training of Transformer-Based Language Models
NeurIPS 2019
Topic-Guided Variational Auto-Encoder for Text Generation
NAACL 2019
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
ACL 2018
Continuous-Time Flows for Efficient Inference and Density Estimation
ICML 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
NeurIPS 2018
Joint Embedding of Words and Labels for Text Classification
ACL 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
ACL 2018
Topic Compositional Neural Language Model
AISTATS 2018
Wide Compression: Tensor Ring Nets
CVPR 2018