Johswald / learning_where_to_learnLinks
☆39Updated last year
Alternatives and similar repositories for learning_where_to_learn
Users that are interested in learning_where_to_learn are comparing it to the libraries listed below
Sorting:
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆37Updated 5 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆29Updated 4 years ago
- ☆29Updated 4 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆99Updated 4 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆79Updated 5 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆170Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆93Updated 5 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Updated 3 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- ☆22Updated 2 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆105Updated 3 years ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Updated last year
- ☆110Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)☆124Updated 2 years ago
- ☆15Updated 5 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Updated 2 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Updated 2 years ago
- ☆36Updated 4 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆52Updated 2 years ago
- ☆67Updated 3 years ago