Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
https://github.com/eric-erki/awesome-domain-adaptation
- [7 Nov 2019
- [12 Mar 2019
- [16 Jan 2019
- [31 Dec 2018
- [6 Dec 2018
- [2017
- [2017
- [Neurocomputing 2018
- [ICANN2018
- [2015
- [3 Oct 2019
- [arXiv 15 Nov 2018
- [ICML2019
- [ICML2019 - Learning-Invariant-Representations-for-Domain-Adaptation)
- [NIPS2007
- [NIPS2006
- [ML2010
- [10 Dec 2019
- [25 Oct 2019
- [23 Oct 2019
- [25 Sep 2019
- [arXiv 13 Sep 2019
- [arXiv 11 Jun 2019
- [arXiv 10 Jun 2019
- [arXiv 28 May 2019
- [arXiv 30 Nov 2018
- [arXiv 17 Feb 2019
- [arXiv 30 Dec 2018
- [arXiv 2 Dec 2018
- [arXiv 10 Oct 2018
- [arXiv 10 Sep 2018
- [arXiv 6 Jul 2018 - ADDA)
- [arXiv 4 Jun 2018
- [arXiv 21 May 2018
- [arXiv 25 Apr 2018
- [arXiv 28 Jun 2018
- [AAAI2020
- [AAAI2020
- [AAAI2020 - AAAI2020)
- [IJCNN2019 - adaptation-capls)
- [ICDM2019
- [ACM MM2019
- [ACM MM2019
- [IJCAI2019 - Group/DSR)
- [ICML2019 - Spectral-Penalization)
- [ICML2019 - Adversarial-Training)
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [CVPR2019 - lab-iitk.github.io/CADA/)
- [CVPR2019
- [CVPR2019
- [CVPR2019 Oral
- [CVPR2019
- [CVPR2019
- [IJCNN2019
- [AAAI2019
- [AAAI2019
- [AAAI2019
- [ICLR2019
- [NIPS2018
- [ECCV2018
- [ECCV2018
- [ICML2018 - Push/Moving-Semantic-Transfer-Network)
- [ICML2018
- [CVPR2018 - SBADA-GAN)
- [CVPR2018
- [CVPR2018 - tokyo/MCD_DA)
- [CVPR2018 - feature-augmentation)
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [AAAI2018
- [AAAI2018 - domain-adaptation)
- [ICRA2018
- [ICLR2018
- [ICLR2018 Poster - t)
- [NIPS2017
- [CVPR2017 - adda)
- [CVPR2017
- [NIPS2016
- [ECCV2016
- [JMLR2016
- [ICML2015
- [IEEE ACCESS
- [TPAMI
- [AAAI2020 - Master)
- [ICCV2019
- [AAAI2019
- [CVPR2018
- [AAAI2018
- [ECCV2016
- [ICML2015
- [NIPS2016
- [ICML2017
- [Arxiv 2014
- [20 Sep 2019
- [IJCAI
- [ECCV2018
- [NIPS2017
- [ICRA2018
- [CVPR2014
- [8 Dec 2019
- [21 Nov 2019
- [28 Oct 2019
- [25 Sep 2019
- [arXiv 30 May 2019
- [arXiv on 24 May 2019
- [arXiv 26 May 2019
- [arXiv 13 Apr 2019
- [arXiv 2 Apr 2019
- [arXiv 30 Jan 2019
- [arXiv 22 Jan 2019
- [arXiv 17 Nov 2018
- [ICLR2020
- [AAAI2020 - adaptation-capls)
- [ICDM2019
- [ICML2019
- [ICCV2019
- [ICCV2019 - Whitening)
- [ICCV2019 Oral
- [ICCV2019
- [CVPR2019(Oral)
- [CVPR2019
- [CVPR 2019 - domain-adaptation)
- [CVPR2019
- [CVPR2019
- [CVPR2019 - lab.github.io/GPDA/)
- [CVPR2019 - prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation)
- [CVPR2019
- [CVPRW2019
- [IJCAI2019
- [ICLR2019
- [NIPS2018
- [TIP 2018
- [ECCV2018
- [CVPR2018
- [AAAI2018
- [ICLR2018 - to-cluster/) [[Pytorch]](https://github.com/GT-RIPL/L2C)
- [ICLR2018
- [ICLR2018 - entropy-correlation-alignment)
- [ICCV2017 - atda)
- [ICCV2017
- [ICML2017 - ut/atda)
- [NIPS2016
- [Pattern Recognition(2018)
- [IEEE ACCESS
- [25 Oct 2019
- [ICCV2019
- [arXiv on 19 May 2019
- [CVPR2019
- [AAAI2019
- [ACML2019
- [ICCV2019
- NIPS2018
- [ECCV2018
- [arxiv
- [ICLR Workshop 2014
- [CVPR2019 Oral
- [NIPS2017
- [arXiv 3 May 2019
- [CVPR2019
- [CVPR2019
- [ICLR2019
- [ECCV2018 - ut/OPDA_BP) [[Tensorflow]](https://github.com/Mid-Push/Open_set_domain_adaptation) [[Pytorch]](https://github.com/YU1ut/openset-DA)
- [ICCV2017
- [arXiv 12 Jun 2019
- [arXiv 26 May 2019
- [arXiv 10 May 2019
- [CVPR2019
- [ECCV2018
- [CVPR2018
- [CVPR2018
- [CVPR2019 - Domain-Adaptation)
- [14 Oct 2019
- [AAAI2020
- [NeurlPS2019
- [ICCV2019
- [ICLR2019 - Lab/MuLANN)
- [NIPS2018
- [NIPS2018
- [CVPR2018
- [CVPR2018 - SYSU/MSDA)
- [Information Fusion
- [arXiv
- [arXiv
- [arXiv
- [AAAI2017
- [ACM MM2019
- [8 Sep 2019
- [ICML2019
- [CVPR2019
- [5 Nov 2019
- [ICML2019 - Embedded-Validation)
- [8 Dec 2019
- [18 Sep 2019
- [24 May 2019
- [29 Apr 2019
- [9 Dec 2018
- [ICLR2020
- [ICLR2020
- [AAAI2020 - tokyo/dg_mmld)
- [NeurIPS2019 - mira/masf)
- [ICCV2019 Oral - DL/Episodic-DG)
- [ICML2019
- [CVPR2019 Oral
- [NIPS2018
- [ECCV2018
- [CVPR2018
- [Pattern Recognition(2019) - DA-DG)
- [ICCV2019
- [ICCV2019
- [arXiv
- [ICCV2019
- [ICCV2019
- [arXiv 13 Dec 2018
- [ICCV2019
- [ICCV2019
- [ICML2019
- [CVPR2019
- [29 Nov 2019
- [17 Nov 2019
- [15 Nov 2019
- [6 Nov 2019
- [WACV
- [IJCNN2019 Oral - domain-car-detection)
- [ICCV2019 Oral
- [ICCV2019
- [ICCV2019
- [CVPR2019
- [CVPR2019
- [CVPR2019 - www.cs.umass.edu/unsupVideo/)
- [CVPR2019
- [CVPR2019
- [CVPR2019
- [CVPR2018
- [CVPR2018 - DA-Faster-RCNN) [[Caffe]](https://github.com/yuhuayc/da-faster-rcnn) [[Pytorch(under developing)]]()
- [Neurocomputing
- [27 Nov 2019
- [23 Oct 2019
- [24 Sep 2019
- [2 Sep 2019
- [8 Dec 2016
- [AAAI2020
- [NeurIPS2019
- [WACV2020
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [ICCV2019 Oral - adapt-seg)
- [CVPR2019(Oral)(PDF Coming Soon)
- [CVPR2019
- [CVPR2019
- [CVPR2019
- [CVPR2019 - Domain-Invariant-Structure-Extraction)
- [CVPR2019 Oral
- [CVPR2019 Oral
- [CVPR2019 Oral
- [ICLR2019
- [ECCV2018
- [ECCV2018
- [ECCV2018
- [ECCV2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [ICCV2017
- [ICCV2017
- [Neurocomputing 2019
- [TIP
- [arXiv 25 May 2019
- [arXiv 2 Apr 2019
- [arXiv 29 Dec 2018
- [arXiv 26 Nov 2018
- [arXiv 26 Nov 2018
- [ICCV2019 Oral
- [ICCV2019
- [CVPR2019
- [ECCV2018
- [CVPR2018
- [CVPR2018
- [5 Aug 2019
- [AAAI2020
- [ICCV2019 Oral
- [CVPRW 2019
- [arXiv 29 Aug 2019
- [arXiv on 24 Jan 2019
- [arXiv 14 Nov 2018
- [ICCV2019
- [CVPR2019
- [CVPR2018
- [ICCV2019
- [11 Nov 2019
- [arXiv 3 Jun 2019
- [arXiv 16 Apr 2019
- [ACM MM2019
- [NeurIPS 2019
- [ICCV2019
- [ICCV2019
- [ICCV2019
- [IJCNN
- [WWW2019
- [CVPR2018
- [arXiv 11 Feb 2019
- [arXiv 25 Feb 2019
- [ICCV2019
- [ICLR2019
- [NIPS2018
- [NIPS2018
- [NIPS2018
- [NIPS2018
- [NIPS2018
- [KDD2018
- [IJCAI2018
- [ECCV2018
- [ECCV2018
- [ECCV2018
- [ECCV2018 - GAN/)
- [ECCV2018
- [ECCV2018 - Tensorflow)
- [ECCV2018
- [ECCV2018
- [ICML2018 - GAN)
- [CVPR2018
- [CVPR2018
- [CVPR2018
- [NIPS2017
- [NIPS2017
- [ICCV2017(extended version) - CycleGAN-and-pix2pix)
- [CVPR2017 - CycleGAN-and-pix2pix)
- [ICML2017
- [ICLR2017 Poster - transfer-network)
- [NIPS2016
- [arXiv 5 Dec 2018
- [ICLR2019
- [NIPS2018
- [NIPS2018
- [arXiv 26 Jun
- Xlearn:Transfer Learning Library
- deep-transfer-learning:a PyTorch library for deep transfer learning
- salad:a Semi-supervised Adaptive Learning Across Domains
- transferlearning
Programming Languages
Keywords
transfer-learning
3
deep-learning
2
domain-adaptation
2
deep-transfer-learning
1
pytorch
1
domain-adaption
1
domain-generalization
1
few-shot
1
few-shot-learning
1
generalization
1
machine-learning
1
meta-learning
1
paper
1
papers
1
representation-learning
1
self-supervised-learning
1
style-transfer
1
survey
1
theory
1
transferlearning
1
tutorial-code
1
unsupervised-learning
1