RuiShu / dirt-t
A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
☆176Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for dirt-t
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆200Updated 7 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆192Updated 5 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆199Updated last year
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 5 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆152Updated 7 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 4 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 5 years ago
- Caffe: a fast open framework for deep learning.☆134Updated 9 years ago
- Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'☆73Updated 2 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated last year
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 6 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆62Updated 5 years ago
- Gold Loss Correction☆86Updated 5 years ago
- ☆168Updated 2 years ago
- ☆44Updated 6 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆333Updated 3 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 7 years ago
- ☆224Updated 5 years ago
- ☆28Updated 6 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆144Updated 2 years ago
- Implementation of our proposed algorithm in domain adaptation for image classification☆66Updated 4 years ago
- Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)☆160Updated 7 years ago
- Pytorch implementation of Virtual Adversarial Training☆133Updated 5 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆181Updated 7 years ago
- Domain agnostic learning with disentangled representations☆145Updated 4 years ago
- ☆58Updated last year
- Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)☆100Updated 6 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆80Updated 5 years ago