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adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

aeva-blackbox-backdoor-detection-main

ali-pytorch

PyTorch implementation of Adversarially Learned Inference (BiGAN).

anomaly-xray-gans-bigan

Anomaly detection on X-Ray MURA dataset using GAN.

autodp

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

balancedmse

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression

beyond-imagenet-attack

Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

causpref

Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)

cdrib

[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

controlvae-icml2020

This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation, image generation

copa

[ICLR 2022] COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

cpr

TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)

ctgan

Conditional GAN for generating synthetic tabular data.

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

datalens

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

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

dif-sr

differentially-private-cgan

differentially-private-deep-learning

This repo implements several algorithms for learning with differential privacy.

dino

Training code for Dual Inverse Network Optimisation

disencdr

[SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation

dp-agd-vital

Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget

dp_swd

dpgan

Source code of paper "Differentially Private Generative Adversarial Network"

efficient-fedrec

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation

escofilt_review

Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering (ACL 2021)

fairgan

FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback

federated

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

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data