Tiehang Duan
7 papers · 2021–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
continual learning
(2)
catastrophic forgetting
(2)
domain adaptation
(1)
self-supervised learning
(1)
knowledge distillation
(1)
data augmentation
(1)
corruption robustness
(1)
weight perturbation
(1)
distributionally robust optimization
(1)
task distribution
(1)
domain shift
(1)
black-box model
(1)
wasserstein gradient flow
(1)
out-of-distribution data
(1)
model stealing
(1)
model extraction
(1)
task sequence
(1)
memory replay
(1)
non-stationary data stream
(1)
kernel methods
(1)
Papers
Training A Secure Model against Data-Free Model Extraction
ECCV 2024
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
NeurIPS 2023
MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
CVPR 2023
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
ICML 2022
Learning To Learn and Remember Super Long Multi-Domain Task Sequence
CVPR 2022
Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions
ECCV 2022
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness
ICCV 2021