Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

A curated publication list on evidential deep learning.

Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Awesome Dataset Distillation Papers

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

Making large AI models cheaper, faster and more accessible

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

PyTorch implementation of adversarial attacks.

Deep Learning-based Image Fusion: A Survey

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Awesome Machine Unlearning (A Survey of Machine Unlearning)

对抗样本

Existing Literature about Machine Unlearning

A curated list of resources for Learning with Noisy Labels

IviaCLR: "Missing Value Imputation via Clusterwise Linear Regression". IviaCLR is coded in Fortran by Dr. Napsu Karmitsa (see read_me for more details). The artificial data sets are used to test Iv…

Everything about Transfer Learning and Domain Adaptation--迁移学习

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

VIP cheatsheets for Stanford's CS 229 Machine Learning

Transfer Learning Library