IandRover / MAML_noisy_contrasive_learner
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for MAML_noisy_contrasive_learner
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 2 years ago
- ☆19Updated 2 years ago
- ☆19Updated last year
- ☆16Updated 2 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆20Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆38Updated 2 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated last year
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆23Updated 4 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆40Updated last year
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- Few-shot learning with mislabeled support samples☆39Updated last year
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆27Updated last year
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆30Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆42Updated 2 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- ☆29Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆50Updated 7 months ago
- ☆14Updated 4 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆50Updated last year
- Weakly Supervised Contrastive Learning☆40Updated 3 years ago
- A curated list of awesome Mix☆64Updated last year
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆36Updated this week
- ☆35Updated 2 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆39Updated 4 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆81Updated 7 months ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆22Updated last year
- [AAAI 21] Utilizing meta-learning to correct the noisy labels.☆13Updated 3 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆30Updated 3 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆36Updated last year