IandRover / MAML_noisy_contrasive_learnerLinks
☆17Updated 2 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 4 years ago
- ☆20Updated 3 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Updated 3 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆54Updated 2 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Updated 4 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆14Updated 3 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆94Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- Source code for NeurIPS 2022 paper SoLar☆29Updated last year
- ☆17Updated 4 months ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- A curated list of awesome Mix☆73Updated 2 years ago
- Weakly Supervised Contrastive Learning☆43Updated 3 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Updated 2 years ago
- ☆21Updated 2 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆39Updated 3 years ago
- ☆35Updated 3 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 years ago
- This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Po…☆25Updated 3 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Updated 4 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- A PyTorch implementation of the Variational approach for PU learning☆30Updated 4 years ago
- This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)☆62Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning☆35Updated 3 years ago