XeniaLLL

DDTCDR

This is our implementation for the paper: Pan Li and Alexander Tuzhilin. "DDTCDR: Deep Dual Transfer Cross Domain Recommendation." Proceedings of the 13th International Conference on Web Search and Data Mining. 2020

FedRecAttack

Model Poisoning Attack to Federated Recommendation

QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

thanos-code

Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning

hgnn

Hyperbolic Graph Neural Networks

BalancedMSE

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

transferlearning

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

transferlearning

RoHe

ReMoS_artifact

shaDow_GNN

NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures

GTN-SIGIR2022

Graph Trend Filtering Networks for Recommendations, SIGIR'2022

DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

MDD

Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

post-gan-boosting

Differentially-Private-Deep-Learning

This repo implements several algorithms for learning with differential privacy.

disentanglement_tutorial

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

RecDebiasing

This repository collects debiasing methods for recommendation

private-ml-for-health

Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)

Awesome-Noisy-Labels

A Survey

papernotclear

蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）

federated

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

autodp

autodp: A flexible and easy-to-use package for differential privacy

Applied-Deep-Learning

Applied Deep Learning Course

influence-release

APT

Tensorflow implementation of APT (Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021)

VeriGauge-deprecated

glc

Gold Loss Correction

RecSys-Extraction-Attack

[RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction

POI-Recommendation

Papers and resources about POI recommendation. | 兴趣点推荐相关论文、模型和资源。