DMIRLAB-Group / DSRLinks
The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)
☆20Updated 6 years ago
Alternatives and similar repositories for DSR
Users that are interested in DSR are comparing it to the libraries listed below
Sorting:
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆141Updated 6 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆68Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 5 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 7 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- Demo code for the MDAN paper.☆127Updated 6 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆55Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆69Updated 5 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 3 years ago
- Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains☆105Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- ☆16Updated 5 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆170Updated 4 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆62Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆54Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- Virtual Adversarial Training (VAT) for semi-supervised MNIST written in PyTorch: https://arxiv.org/abs/1704.03976☆25Updated 6 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 4 years ago
- Generalizing to unseen domains via distribution matching☆73Updated 5 years ago
- Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.☆54Updated 2 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 5 years ago
- Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)☆93Updated 6 years ago
- ☆130Updated 7 years ago
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 4 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 3 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 5 years ago