Dapeng Hu
10 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
π
Interdisciplinary Bridge
π
Century Club
(10)
β
The Questioner
(2)
π₯
Unstoppable
(5)
Conferences
NIPS (4)
CVPR (2)
ICML (2)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
unsupervised domain adaptation
(4)
representation learning
(2)
transfer learning
(2)
model selection
(2)
semi-supervised learning
(1)
domain generalization
(1)
domain adaptation
(1)
cluster analysis
(1)
knowledge distillation
(1)
pseudo labeling
(1)
model aggregation
(1)
target domain
(1)
information maximization
(1)
hyperparameter tuning
(1)
ensemble method
(1)
pseudo label
(1)
non-iid datum
(1)
neighborhood aggregation
(1)
domain shift
(1)
black-box model
(1)
Papers
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
NIPS 2024
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
ICML 2024
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
NIPS 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
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
NIPS 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
NIPS 2021
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier
CVPR 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