zsef123 / Large_Margin_Loss_PyTorchLinks
A PyTorch Implementation of a Large Margin Deep Networks for Classification
☆23Updated 6 years ago
Alternatives and similar repositories for Large_Margin_Loss_PyTorch
Users that are interested in Large_Margin_Loss_PyTorch are comparing it to the libraries listed below
Sorting:
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- Reproduce DLOW: Domain Flow for Adaptation and Generalization☆20Updated 5 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- ☆46Updated 4 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- ☆20Updated 6 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 6 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆54Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆28Updated 5 years ago
- ☆18Updated 6 years ago