renmengye / inc-few-shot-attractor-publicLinks
Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
☆122Updated 5 years ago
Alternatives and similar repositories for inc-few-shot-attractor-public
Users that are interested in inc-few-shot-attractor-public are comparing it to the libraries listed below
Sorting:
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆106Updated 2 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆97Updated last year
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- ☆91Updated 3 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- ☆132Updated 4 years ago
- Few shot learning☆155Updated 3 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 5 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Updated 4 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆249Updated 7 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 5 years ago
- ☆71Updated 5 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆204Updated 3 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆49Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients☆58Updated 5 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 5 years ago
- Tools for generating tieredImageNet dataset and processing batches☆77Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 6 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- ☆154Updated 5 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago