Zhiquan Tan
9 papers · 2023–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 👑 Triple Crown
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Prolific Year · Productive
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Keyword Collector
(51)
Venues
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Research topics
Machine Learning
(9)
Deep Learning
(7)
Learning Types · Deep Learning
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(3)
Natural Language Processing
(1)
Application Areas
(1)
Architectures
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
self-supervised learning
(3)
representation learning
(3)
multimodal learning
(2)
contrastive learning
(1)
spectral clustering
(1)
transfer learning
(1)
semi-supervised learning
(1)
soft label
(1)
model evaluation
(1)
neural collapse
(1)
language model evaluation
(1)
feature attribution
(1)
theoretical analysis
(1)
data representation
(1)
pretraining
(1)
optimal transport
(1)
continual learning
(1)
evaluation metric
(1)
rank-based metric
(1)
information theory
(1)
Papers
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
ICML 2025
Contrastive Learning is Spectral Clustering on Similarity Graph
ICLR 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
NeurIPS 2024
Information Flow in Self-Supervised Learning
ICML 2024
Matrix Information Theory for Self-Supervised Learning
ICML 2024
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
ICML 2024
Provable Contrastive Continual Learning
ICML 2024
Unveiling the Dynamics of Information Interplay in Supervised Learning
ICML 2024
Trade-off Between Efficiency and Consistency for Removal-based Explanations
NeurIPS 2023