Yihao Xue
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(18)
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Unstoppable · Bronze
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The Questioner
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Research topics
Machine Learning
(8)
Deep Learning
(5)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Application Areas
(2)
Architectures
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
representation learning
(4)
contrastive learning
(3)
self-supervised learning
(2)
label noise
(2)
distribution shift
(2)
domain generalization
(1)
gradient descent
(1)
adversarial robustness
(1)
privacy preservation
(1)
feature learning
(1)
noisy label
(1)
singular value decomposition
(1)
model generalization
(1)
generalization
(1)
linear classifier
(1)
embedding
(1)
double descent
(1)
zero-shot classification
(1)
feature suppression
(1)
federated learning
(1)
Papers
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
ICML 2025
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
ICML 2024
Investigating the Benefits of Projection Head for Representation Learning
ICLR 2024
Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise
UAI 2024
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
ICLR 2024
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
ICML 2023
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
ICML 2022
Toward Understanding the Influence of Individual Clients in Federated Learning
AAAI 2021