Yiluan / AWGIM
Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"
☆16Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for AWGIM
- This repository contains the code for Instance Credibility Inference (ICI).☆82Updated 3 years ago
- ☆90Updated 2 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆95Updated last year
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆148Updated 3 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆50Updated 4 years ago
- Ensembles of CNNs for few-shot image classification☆53Updated 3 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated last year
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 3 years ago
- This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".☆48Updated 3 years ago
- Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning☆20Updated 4 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 2 years ago
- Laplacian Regularized Few Shot Learning☆81Updated 2 years ago
- Codes for UODTN; Open domain recognition; CVPR19☆45Updated 3 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆25Updated 2 years ago
- Evaluation of semi-supervised learning on challenging datasets☆35Updated 2 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆78Updated 3 years ago
- ☆58Updated 2 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆55Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- ☆42Updated 4 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆104Updated 3 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- ☆47Updated 4 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- This is a public repository for:☆38Updated 3 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆93Updated last year