Ke Bai
11 papers · 2019–2023 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Gold π Triple Crown
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Grand Slam
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Renaissance Researcher
(5)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(61)
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Keywords
adversarial learning
(2)
generative adversarial network
(2)
text generation
(2)
optimal transport
(2)
generative model
(2)
machine translation
(1)
reinforcement learning
(1)
sequence generation
(1)
text classification
(1)
variational inference
(1)
density estimation
(1)
style transfer
(1)
contrastive learning
(1)
domain generalization
(1)
image captioning
(1)
probabilistic modeling
(1)
text summarization
(1)
feature matching
(1)
adversarial training
(1)
langevin dynamics
(1)
Papers
Estimating Total Correlation with Mutual Information Estimators
AISTATS 2023
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
EMNLP 2023
Learning to Weight Filter Groups for Robust Classification
WACV 2022
Open World Classification with Adaptive Negative Samples
EMNLP 2022
Learning Implicit Text Generation via Feature Matching
ACL 2020
Semantic Matching for Sequence-to-Sequence Learning
EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
AISTATS 2019
GO Gradient for Expectation-Based Objectives
ICLR 2019
On Fenchel Mini-Max Learning
NeurIPS 2019
Variational Annealing of GANs: A Langevin Perspective
ICML 2019