Frozenmad / MetaDeltaLinks
1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.
☆47Updated 2 years ago
Alternatives and similar repositories for MetaDelta
Users that are interested in MetaDelta are comparing it to the libraries listed below
Sorting:
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- Ranking-based-Instance-Selection☆32Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Updated 4 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆36Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- ☆69Updated 5 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆84Updated 4 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆23Updated 3 years ago
- Bootstrapping loss function implementation in pytorch☆36Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- Laplacian Regularized Few Shot Learning☆83Updated 3 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- awesome few shot / meta learning papers☆53Updated 4 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆122Updated 2 years ago
- PyTorch code for the paper "CrossTransformers: spatially-aware few-shot transfer"☆24Updated 4 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Updated 2 years ago
- ☆20Updated 2 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Updated 3 years ago
- An open-source project for long-tail classification☆39Updated 3 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 6 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- ☆39Updated 2 years ago