Tao Bai
8 papers · 2015–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Learning Types · Machine Learning
(6)
Learning Types · Deep Learning
(6)
Artificial Intelligence
(5)
Application Areas
(3)
Core AI · Artificial Intelligence
(3)
Computer Vision
(2)
Learning Paradigms
(2)
Analysis
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Models
(1)
Techniques
(1)
Keywords
contrastive learning
(4)
universal domain adaptation
(3)
uncertainty quantification
(2)
domain adaptation
(2)
feature alignment
(2)
deep learning
(1)
adversarial training
(1)
uncertainty modeling
(1)
person re-identification
(1)
prototype learning
(1)
adversarial robustness
(1)
pseudo labeling
(1)
deep neural network
(1)
random walk
(1)
generative model
(1)
cluster structure
(1)
embedding space
(1)
synthetic data
(1)
generative adversarial network
(1)
reinforcement learning
(1)
Papers
OmniOData: Unleashing Small Language Models for OData Query Generation with Synthetic Data and Reinforcement Learning
ACL 2026
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
AAAI 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation
CVPR 2022
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation
AAAI 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
AAAI 2022
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract)
AAAI 2021
Recent Advances in Adversarial Training for Adversarial Robustness
IJCAI 2021
A Graph-based Readability Assessment Method using Word Coupling
EMNLP 2015