Lifelong Learning with Dynamically Expandable Networks, ICLR 2018
☆160May 4, 2020Updated 5 years ago
Alternatives and similar repositories for DEN
Users that are interested in DEN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lifelong Learning with Dynamically Expandable Networks☆20Feb 18, 2018Updated 8 years ago
- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆22Mar 4, 2023Updated 3 years ago
- ☆26Jul 3, 2020Updated 5 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆220Jan 23, 2019Updated 7 years ago
- Linear Mode Connectivity in Multitask and Continual Learning: https://arxiv.org/abs/2010.04495☆12Oct 12, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Continuum Learning with GEM: Gradient Episodic Memory☆406Oct 22, 2018Updated 7 years ago
- Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.☆22Aug 2, 2017Updated 8 years ago
- Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unfo…☆124Jan 8, 2021Updated 5 years ago
- Just some experiments on GANs hallucinating data samples for an incremental learner.☆18Jul 17, 2017Updated 8 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆36May 25, 2021Updated 4 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆172Oct 29, 2021Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Sep 9, 2022Updated 3 years ago
- Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow☆306May 23, 2020Updated 5 years ago
- Implementation of Bayesian Gradient Descent☆37Oct 3, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.☆53May 8, 2023Updated 2 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- ☆270Sep 29, 2021Updated 4 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23May 25, 2022Updated 3 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆35Jan 13, 2019Updated 7 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆167Nov 1, 2017Updated 8 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
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆208Oct 12, 2021Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆76Mar 25, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Implementation of [MNTDP](https://arxiv.org/abs/2012.12631)☆18Mar 9, 2022Updated 4 years ago
- ☆15Sep 2, 2020Updated 5 years ago
- We are indexing the progress in simulations to real world transfer for perception and control☆28Aug 1, 2018Updated 7 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆473Apr 10, 2025Updated 11 months ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆524Apr 26, 2021Updated 4 years ago
- Memory Aware Synapses method implementation code☆99Oct 8, 2018Updated 7 years ago
- Continual learning using variational prototype replays☆10Oct 17, 2020Updated 5 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 6 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Oct 9, 2017Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for "Supermasks in Superposition"☆126Oct 3, 2023Updated 2 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆81Dec 16, 2020Updated 5 years ago
- CORe50: a new Dataset and Benchmark for Continual Learning☆124Apr 7, 2021Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- ☆74Jan 10, 2020Updated 6 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆120Aug 11, 2020Updated 5 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago