Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.
☆170Apr 11, 2022Updated 3 years ago
Alternatives and similar repositories for hypercl
Users that are interested in hypercl are comparing it to the libraries listed below
Sorting:
- Package for working with hypernetworks in PyTorch.☆132Sep 7, 2023Updated 2 years ago
- Continual learning of task-specific approximations of the parameter posterior distribution via a shared hypernetwork.☆16Nov 1, 2024Updated last year
- Continual Learning in Recurrent Neural Networks☆37Oct 12, 2021Updated 4 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆524Apr 26, 2021Updated 4 years ago
- Relevant papers in Continual Learning☆741Jul 25, 2023Updated 2 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆76Mar 25, 2023Updated 2 years ago
- ☆54Nov 22, 2019Updated 6 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆208Oct 12, 2021Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Jun 27, 2022Updated 3 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 4 years ago
- Implementation of the variational continual learning method☆197May 7, 2019Updated 6 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255May 25, 2023Updated 2 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆93Oct 4, 2023Updated 2 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆220Jan 23, 2019Updated 7 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Aug 22, 2020Updated 5 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Jul 25, 2024Updated last year
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆37Oct 23, 2020Updated 5 years ago
- Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural N…☆15Oct 13, 2021Updated 4 years ago
- ☆10Mar 14, 2021Updated 4 years ago
- ☆11Sep 25, 2022Updated 3 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Mar 29, 2021Updated 4 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Dec 8, 2022Updated 3 years ago
- A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…☆249Jul 6, 2023Updated 2 years ago
- Lite Self-Training☆30Jul 25, 2023Updated 2 years ago
- Avalanche: an End-to-End Library for Continual Learning based on PyTorch.☆2,025Mar 11, 2025Updated 11 months ago
- Continuum Learning with GEM: Gradient Episodic Memory☆406Oct 22, 2018Updated 7 years ago
- Continual Learning papers list, curated by ContinualAI☆695Apr 22, 2024Updated last year
- Code for Continual Learning of Context-dependent Processing in Neural Networks☆183Aug 18, 2021Updated 4 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Nov 15, 2021Updated 4 years ago
- Awesome Incremental Learning☆4,405Jan 29, 2026Updated last month
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Nov 11, 2020Updated 5 years ago
- Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pu…☆33Apr 24, 2024Updated last year
- ☆16Mar 14, 2020Updated 5 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆472Apr 10, 2025Updated 10 months ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 4 years ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆205Jun 3, 2021Updated 4 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆167Nov 1, 2017Updated 8 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Nov 2, 2020Updated 5 years ago