DiegoOrtego / LabelNoiseDRPL
☆13Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for LabelNoiseDRPL
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 2 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆33Updated 5 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- Continual learning using variational prototype replays☆9Updated 4 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆39Updated 2 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆60Updated 2 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆51Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆45Updated 9 months ago
- Adjust Decision Boundary for Class Imbalanced Learning☆18Updated 4 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 4 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).☆30Updated 4 years ago
- ☆9Updated 11 months ago
- Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019☆33Updated 5 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 4 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆21Updated 2 years ago
- PyTorch implementation of "Metric Learning with Adaptive Density Discrimination"☆13Updated 5 years ago
- Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.☆23Updated 4 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆21Updated 6 years ago
- Generative Adversarial Minority Oversampling☆31Updated 4 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 3 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago