Han-Jia / UNICORN-MAMLLinks
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
☆44Updated last year
Alternatives and similar repositories for UNICORN-MAML
Users that are interested in UNICORN-MAML are comparing it to the libraries listed below
Sorting:
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆113Updated 2 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆65Updated 3 years ago
- ☆35Updated 3 years ago
- ☆58Updated 3 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆165Updated 4 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Updated 2 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆70Updated 2 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆245Updated 5 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆133Updated 2 years ago
- Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task…☆139Updated last year
- ☆61Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Updated last year
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆120Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆118Updated 2 years ago
- ☆115Updated 4 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- Awesome Few-Shot Class-Incremental Learning☆245Updated last year
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123Updated 2 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆85Updated 3 years ago
- This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)☆62Updated 4 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 3 years ago
- ☆39Updated 11 months ago
- ☆66Updated 3 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆38Updated 3 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Updated 2 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆97Updated 4 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago