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☆94Updated 5 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆95Updated 6 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆128Updated 3 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆182Updated 5 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 5 years ago
- ☆129Updated 2 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆141Updated 5 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆267Updated 4 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.☆80Updated 4 years ago
- Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity☆31Updated last year
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 5 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆63Updated 3 years ago
- ☆46Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- Adjust Decision Boundary for Class Imbalanced Learning☆19Updated 5 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago