Source code for AAAI-2024 Accepted paper Regroup Median Loss for Combating Label Noise

AcadHomepage: A Modern and Responsive Academic Personal Homepage

温州大学《机器学习》课程资料（代码、课件等）

Official code of DaSC published in ECCV 2024

A curated list of resources for Learning with Noisy Labels

Code for "Adversarial Noise Layer: Regularize Neural Network By Adding Noise"

A curated (most recent) list of resources for Learning with Noisy Labels

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

计算机视觉相关综述。包括目标检测、跟踪........

Awesome Dataset Distillation Papers

机器学习和差分隐私的论文笔记和代码仓

Source code for the paper "How Re-sampling Helps for Long-Tail Learning?"

Awesome Knowledge Distillation

Google's differential privacy libraries.

The official implementation for paper: Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A pytorch adversarial library for attack and defense methods on images and graphs

National Postgraduate Entrance Exam Documents of Institute of Information Engineering, Chinese Academy of Sciences. 中国科学院信息工程研究所考研保研考博文档资料

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

Breaching privacy in federated learning scenarios for vision and text

This Github repository summarizes a list of research papers on AI security from the four top academic conferences.

A collection of Google research projects related to Federated Learning and Federated Analytics.

[ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?

NRAT: Towards Adversarial Training with Inherent Label Noise - Machine Learning Journal (2023)