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:
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 6 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 5 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 5 years ago
- ☆131Updated 3 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 6 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 5 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Updated 5 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated 2 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98Updated 6 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 6 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 3 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 5 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆91Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 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
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago