alisure-ml / Awesome-Self-TrainingLinks
Self-Training/Self-Learning
☆9Updated 4 years ago
Alternatives and similar repositories for Awesome-Self-Training
Users that are interested in Awesome-Self-Training are comparing it to the libraries listed below
Sorting:
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆102Updated 4 years ago
- [ICLR 2021] Concept Learners for Few-Shot Learning☆115Updated 2 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 5 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 2 months ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 5 years ago
- ☆54Updated 3 years ago
- Code for NeurIPS paper: "HRN: A Holistic Approach to One Class Learning"☆14Updated 2 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated 2 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆163Updated 5 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- ☆42Updated 6 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆138Updated 6 years ago
- Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"☆34Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆75Updated 4 years ago
- Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).☆73Updated 3 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 3 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- pytorch implementation for Contrastive Adaptation Network☆341Updated 4 years ago
- Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).☆117Updated 5 years ago
- Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)☆92Updated 6 years ago
- ☆94Updated 4 years ago
- Awesome Active Learning Paper List☆143Updated last year
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆136Updated 2 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated 11 months ago
- Latest progresses (papers & datasets) of zero-shot learning.☆83Updated 2 years ago