XeniaLLL's starred repositories
awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
backdoor-learning-resources
A list of backdoor learning resources
adversarial-recommender-systems-survey
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
amlrecsys-tutorial
Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommender Systems
RS-Adversarial-Learning
A curated collection of adversarial attack and defense on recommender systems.
6.867-final-project
Adversarial attacks and defenses against federated learning.
FL-algorithm-with-data-augmentation
Federated Learning with Generative Adversarial Network to Improve Training on Non-i.i.d Data
ModelPoisoning
Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
attack-and-defense-methods
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
Awesome-OOD-detection
SOTA work about out-of-distribution detection
CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Time-Series-Papers
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
awesome-time-series-database
:clock7: A curated list of awesome time series databases, benchmarks and papers
awesome-time-series
list of papers, code, and other resources
awesome-math
A curated list of awesome mathematics resources
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Awesome-Best-Papers
Collect awesome best papers from top AI conferences.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
bernstein_flow
A normalizing flow using Bernstein polynomials for conditional density estimation.