JuliousHurtado / meta-training-setup
This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
☆11Updated 3 years ago
Alternatives and similar repositories for meta-training-setup:
Users that are interested in meta-training-setup are comparing it to the libraries listed below
- Codebase for the paper titled "Continual learning with local module selection"☆25Updated 3 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆25Updated last year
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Updated 2 years ago
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆27Updated last year
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆22Updated 2 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated last year
- ☆29Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- ☆16Updated 2 years ago
- Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving☆38Updated 2 years ago
- ☆48Updated 2 years ago
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆36Updated 4 years ago
- This is a public repository for:☆38Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆93Updated 2 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆45Updated 2 years ago
- Class Incremental learning, Task Incremental Learning☆16Updated 2 years ago
- ☆25Updated 3 years ago
- ☆63Updated 3 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆29Updated 3 years ago
- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆20Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- ☆59Updated 3 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆44Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- ☆24Updated 2 years ago
- ☆25Updated 2 years ago
- Generative Feature Replay For Class-Incremental Learning☆37Updated 4 years ago