Kun Bai
9 papers · 2018–2022 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π£ Hot Topic Early Bird π Conference Pioneer
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Research topics
Machine Learning
(8)
Learning Types Β· Machine Learning
(6)
Deep Learning
(4)
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Artificial Intelligence
(3)
Computer Vision
(3)
Natural Language Processing
(3)
Applications
(3)
Analysis
(2)
Bayesian & Probabilistic
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Learning Types Β· Deep Learning
(2)
Reinforcement Learning
(1)
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Core AI
(1)
Keywords
selection bia
(2)
recurrent neural network
(2)
contrastive learning
(1)
metric learning
(1)
adversarial learning
(1)
action recognition
(1)
domain adaptation
(1)
image captioning
(1)
natural language processing
(1)
text classification
(1)
similarity learning
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
natural language inference
(1)
response generation
(1)
variational inference
(1)
toxicity detection
(1)
face recognition
(1)
hierarchical clustering
(1)
reinforcement learning
(1)
Papers
Contrastive Multi-view Hyperbolic Hierarchical Clustering
IJCAI 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
AAAI 2022
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
ACL 2020
Additive Adversarial Learning for Unbiased Authentication
CVPR 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
AAAI 2019
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration
EMNLP 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
ACL 2019
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior
EMNLP 2018
Structured Inference for Recurrent Hidden Semi-markov Model
IJCAI 2018