Ke Bai
11 papers · 2019–2023 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (28) π Conference Polyglot (8) π Renaissance Researcher (7) π§ Keyword Pioneer
π
Conference Polyglot
(8)
π
Renaissance Researcher
(7)
π
Grand Slam
π
Triple Crown
π
Century Club
(11)
ποΈ
Keyword Collector
(55)
Conferences
EMNLP (3)
AISTATS (2)
AAAI (1)
ACL (1)
ICLR (1)
ICML (1)
NIPS (1)
WACV (1)
Top co-authors
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
Open World Classification with Adaptive Negative Samples
EMNLP 2022
Learning to Weight Filter Groups for Robust Classification
WACV 2022
Semantic Matching for Sequence-to-Sequence Learning
EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Learning Implicit Text Generation via Feature Matching
ACL 2020
On Fenchel Mini-Max Learning
NIPS 2019
GO Gradient for Expectation-Based Objectives
ICLR 2019
Variational Annealing of GANs: A Langevin Perspective
ICML 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
AISTATS 2019