Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Must-read Papers on Textual Adversarial Attack and Defense

Next RecSys Library

Training neural models with structured signals.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Implementation of Papers on Adversarial Examples

Awesome Domain Adaptation Python Toolbox

An Unsupervised Learning Framework for Moving Object Detection From Videos

[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer

Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

SegAN: Semantic Segmentation with Adversarial Learning

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder

Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

PyTorch library for adversarial attack and training