mominabbass / Sharp-MAMLLinks
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
☆33Updated 2 years ago
Alternatives and similar repositories for Sharp-MAML
Users that are interested in Sharp-MAML are comparing it to the libraries listed below
Sorting:
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- ☆15Updated 5 years ago
- ☆39Updated 11 months ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- ☆22Updated 2 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆36Updated 5 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23Updated 3 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆85Updated 3 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Updated 2 years ago
- ☆37Updated 4 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆44Updated 3 years ago
- [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning☆18Updated 4 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆71Updated 3 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆77Updated 4 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- ☆73Updated 2 years ago
- MoCo with Alignment and Uniformity Loss.☆62Updated 3 years ago
- ☆35Updated 3 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- ☆23Updated 3 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆97Updated 4 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆54Updated 6 years ago
- ☆29Updated 4 years ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Updated last year