LayneH / self-adaptive-training
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
☆127Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for self-adaptive-training
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 3 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆124Updated 4 years ago
- Differentiable Data Augmentation Library☆120Updated 2 years ago
- ☆130Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆116Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆125Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 3 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆64Updated 2 years ago
- A PyTorch converter for SimCLR checkpoints☆106Updated 3 years ago
- ☆46Updated 3 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆77Updated 4 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 4 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 5 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆117Updated last year
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆90Updated 3 years ago
- [CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data☆111Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆104Updated 2 years ago
- PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP☆80Updated 4 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated 5 years ago
- ☆106Updated 2 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆99Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆125Updated last year
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 3 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆139Updated 4 years ago
- [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".☆113Updated 2 years ago
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆70Updated 3 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆129Updated 2 years ago