IandRover / MAML_noisy_contrasive_learnerLinks
☆17Updated 3 years ago
Alternatives and similar repositories for MAML_noisy_contrasive_learner
Users that are interested in MAML_noisy_contrasive_learner are comparing it to the libraries listed below
Sorting:
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 5 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Updated 4 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Updated 3 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆54Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- ☆20Updated 3 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 4 years ago
- A curated list of awesome Mix☆72Updated 2 years ago
- Weakly Supervised Contrastive Learning☆44Updated 4 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Updated 3 years ago
- Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)☆28Updated 4 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆29Updated 3 years ago
- Label-Imbalanced and Group-Sensitive Classification under Overparameterization☆16Updated 4 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆65Updated 3 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆40Updated 4 years ago
- ☆58Updated 3 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- MetaMix for ICML 2021☆27Updated 4 years ago
- ☆20Updated 7 months ago
- PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment☆117Updated 4 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆47Updated 3 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago