joey-wang123

Bayes-Active-Watermark

Defense against Model Extraction Attack by Bayesian Active Watermarking (ICML 2024)

CL-refresh-learning

A Unified and General Framework for Continual Learning, ICLR 2024

DFME-DRO

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training (NeurIPS 2023)

DRO-Task-free

Code for Improving Task-free Continual Learning by Distributionally Robust Memory Evolution (ICML 2022)

Imbalancemeta

code for Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness (ICCV 2021)

joey-wang123.github.io

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

SDML

code for Learning to Learn and Remember Super Long Multi-Domain Task Sequence (CVPR 2022)

Semi-meta

code for Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions (ECCV 2022)

vscode-markdown

Markdown All in One

joey-wang123/Imbalancemeta

code for Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness (ICCV 2021)

joey-wang123/DRO-Task-free

Code for Improving Task-free Continual Learning by Distributionally Robust Memory Evolution (ICML 2022)

joey-wang123/SDML

code for Learning to Learn and Remember Super Long Multi-Domain Task Sequence (CVPR 2022)

joey-wang123/CL-refresh-learning

A Unified and General Framework for Continual Learning, ICLR 2024

joey-wang123/DFME-DRO

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training (NeurIPS 2023)

joey-wang123/Bayes-Active-Watermark

Defense against Model Extraction Attack by Bayesian Active Watermarking (ICML 2024)

joey-wang123/joey-wang123.github.io

joey-wang123/pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

joey-wang123/Semi-meta

code for Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions (ECCV 2022)

joey-wang123/vscode-markdown

Markdown All in One

joey-wang123/zhenyiwang.github.io