brjathu / iTAMLLinks
Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
☆99Updated 2 years ago
Alternatives and similar repositories for iTAML
Users that are interested in iTAML are comparing it to the libraries listed below
Sorting:
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 5 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆93Updated 2 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆194Updated 4 years ago
- Tools for generating tieredImageNet dataset and processing batches☆78Updated 4 years ago
- pytorch implementation of Large Scale Incremental Learning☆67Updated 5 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Updated 5 years ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆82Updated 2 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- ☆90Updated 3 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆104Updated 2 years ago
- ☆72Updated 5 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- ☆131Updated 4 years ago
- ☆177Updated 3 years ago
- Generative Feature Replay For Class-Incremental Learning☆38Updated 5 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 4 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆152Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆100Updated 2 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Updated 3 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆231Updated 4 years ago
- The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 3 years ago
- ☆115Updated 4 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆161Updated 4 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago