Cheng-Hao Tu
7 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(21)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Application Areas
(5)
Deep Learning
(4)
Learning Paradigms
(4)
Learning Types · Machine Learning
(3)
Techniques
(3)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Optimization
(1)
Keywords
transfer learning
(3)
vision transformer
(2)
domain adaptation
(2)
few-shot learning
(1)
image generation
(1)
feature extraction
(1)
knowledge distillation
(1)
image synthesis
(1)
model aggregation
(1)
parameter-efficient transfer learning
(1)
parameter efficient
(1)
visual recognition
(1)
gradient descent
(1)
classification accuracy
(1)
parameter learning
(1)
inverse problem
(1)
ensemble method
(1)
memory efficiency
(1)
pre-trained model
(1)
parameter-efficient fine-tuning
(1)
Papers
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
CVPR 2025
Fine-Tuning is Fine, if Calibrated
NeurIPS 2024
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
NeurIPS 2023
Learning Fractals by Gradient Descent
AAAI 2023
On the Importance and Applicability of Pre-Training for Federated Learning
ICLR 2023
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
CVPR 2023
Compacting, Picking and Growing for Unforgetting Continual Learning
NeurIPS 2019