Dapeng Hu
10 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze 🔥 Unstoppable · Bronze
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The Questioner
(2)
Venues
Top co-authors
Research topics
Keywords
unsupervised domain adaptation
(5)
model selection
(2)
transfer learning
(2)
representation learning
(2)
calibration
(1)
semi-supervised learning
(1)
semantic segmentation
(1)
sequential learning
(1)
catastrophic forgetting
(1)
domain adaptation
(1)
domain generalization
(1)
cluster analysis
(1)
self-supervised learning
(1)
knowledge distillation
(1)
pseudo labeling
(1)
image classification
(1)
model aggregation
(1)
target domain
(1)
federated learning
(1)
model compression
(1)
Papers
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
ICML 2024
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
NeurIPS 2024
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
NeurIPS 2023
DINE: Domain Adaptation From Single and Multiple Black-Box Predictors
CVPR 2022
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
ICLR 2022
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier
CVPR 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
NeurIPS 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
NeurIPS 2021
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
ECCV 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
ICML 2020