Congyu Qiao
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(10)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(6)
Core Methods
(5)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Deep Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
partial label learning
(4)
label enhancement
(3)
candidate label
(2)
weakly supervised learning
(2)
variational inference
(2)
bayes optimal classifier
(2)
multi-label classification
(1)
probabilistic model
(1)
domain adaptation
(1)
risk minimization
(1)
uncertainty quantification
(1)
dirichlet distribution
(1)
label disambiguation
(1)
predictive model
(1)
maximum a posteriori estimation
(1)
test-time adaptation
(1)
spurious feature
(1)
latent label distribution
(1)
multi-label learning
(1)
semi-supervised learning
(1)
Papers
Selective Label Enhancement Learning for Test-Time Adaptation
ICLR 2025
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
ICML 2024
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision
ICML 2024
Decompositional Generation Process for Instance-Dependent Partial Label Learning
ICLR 2023
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
ICML 2023
Progressive Purification for Instance-Dependent Partial Label Learning
ICML 2023
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
NeurIPS 2022
Instance-Dependent Partial Label Learning
NeurIPS 2021