multi-source-domain-adaptation

There are 3 repositories under multi-source-domain-adaptation topic.

tim-learn / SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
domain-adaptation transfer-learning icml-2020 source-hypothesis-transfer partial-set-domain-adaptation multi-source-domain-adaptation pseudo-labeling source-free-domain-adaptation
Language:Python 409
bupt-ai-cz / Meta-SelfLearning
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
text-recognition ocr-recognition domain-adaptation multi-source-domain-adaptation meta-learning benchmark dataset self-learning computer-vision iccv2021
Language:Python 197
tim-learn / SHOT-plus
code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
tpami domain-adaptation self-supervised-learning semi-supervised-learning black-box-method multi-source-domain-adaptation semi-supervised-domain-adaptation partial-set-domain-adaptation transfer-learning source-free-domain-adaptation
Language:Python 106
tim-learn / DINE
code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"
domain-adaptation black-box distillation multi-source-domain-adaptation cvpr2022 source-free-domain-adaptation
Language:Python 75
Panda-Peter / visda2019-multisource
Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019
multi-source-domain-adaptation domain-adaptation visda2019
Language:Python 51
eddardd / WBTransport
This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Multi-Source Domain Adaptation" in CVPR21
optimal-transport acoustic-classification music-genre-classification music-speech-discrimination domain-adaptation transfer-learning wasserstein-barycenters multi-source-domain-adaptation
Language:Python 28
tuanrpt / MOST
Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021
domain-adaptation multi-source-domain-adaptation transfer-learning deep-learning optimal-transport imitation-learning learning-with-limited-labeled-data uai2021 wasserstein-distance
Language:Python 19
Zhongying-Deng / DAC-Net
Pytorch implementation of DAC-Net ("Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang. Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC 2021")
domain-adaptation multi-source-domain-adaptation
Language:Python 18
Zhongying-Deng / DIDA
Pytorch implementation for "Dynamic Instance Domain Adaptation" (DIDA-Net, accepted to IEEE T-IP).
domain-adaptation unsupervised-domain-adaptation multi-source-domain-adaptation
Language:Python 10
HeyyyyyyG / Multi-souce-Separation-and-Alignment-Network-for-EEG-Emotion-Classification
Transfer learning for multi source EEG-emotion-classification
eeg-classification emotion-classification multi-souce-separation multi-source-domain-adaptation transfer-learning
Language:Python 9
geonyeong-park / MIAN
The official repository for "Information-theoretic regularization for multi-source domain adaptation"
domain-adaptation information-theory multi-source-domain-adaptation
Language:Python 5
cjshui / WADN
Wasserstein Aggregation Domain Network
deep-learning domain-adaptation machine-learning multi-source-domain-adaptation pytorch transfer-learning
Language:Python 4
bigdata-ustc / Zero-1-to-3
Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI2024)
aaai2024 ai-for-education cognitive-diagnosis cold-start cross-domain-adaptation educational-big-data fine-tuning multi-source-domain-adaptation personalized-learning pre-training question-recommendation student-modeling zero-1-to-3
2
WebGao / Zero-1-to-3
Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI 2024)
cognitive-diagnosis personalized-learning student-modeling aaai2024 weibo-gao cross-domain-adaptation fine-tuning multi-source-domain-adaptation pre-training question-recommendation
1