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 Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
☆124Jan 8, 2021Updated 5 years ago
Alternatives and similar repositories for CPG
Users that are interested in CPG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆184May 2, 2019Updated 6 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago
- ☆74Jan 10, 2020Updated 6 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆99Oct 3, 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
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆83Sep 20, 2023Updated 2 years ago
- The Stream-51 dataset for streaming classification and novelty detection from videos.☆15Feb 22, 2022Updated 4 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆120Aug 11, 2020Updated 5 years ago
- pytorch implementation of Large Scale Incremental Learning☆66Aug 2, 2020Updated 5 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆473Apr 10, 2025Updated 11 months ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆240Oct 7, 2018Updated 7 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆54Aug 14, 2021Updated 4 years ago
- GWR Toolbox☆14Jan 28, 2019Updated 7 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆194Apr 23, 2021Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Lifelong Learning with Dynamically Expandable Networks, ICLR 2018☆160May 4, 2020Updated 5 years ago
- Code for the pubblication "Distilled Replay: Overcoming Forgetting through Synthetic Examples"☆12Apr 1, 2021Updated 4 years ago
- Lifelong Learning with Dynamically Expandable Networks☆20Feb 18, 2018Updated 8 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆220Jan 23, 2019Updated 7 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Sep 9, 2022Updated 3 years ago
- A Generic Multi-classifier Paradigm forIncremental Learning☆11Aug 22, 2020Updated 5 years ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Oct 19, 2022Updated 3 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆37Feb 17, 2019Updated 7 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆419May 30, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Implementation of Learning without Forgetting paper☆131Mar 11, 2021Updated 5 years ago
- ☆17Oct 9, 2022Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"☆20Jan 22, 2021Updated 5 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
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆76Jun 15, 2021Updated 4 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Sep 28, 2021Updated 4 years ago
- Code for Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation☆21May 7, 2019Updated 6 years ago
- Code for "Supermasks in Superposition"☆126Oct 3, 2023Updated 2 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Dec 15, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆270Sep 29, 2021Updated 4 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255May 25, 2023Updated 2 years ago
- ☆18Jan 10, 2020Updated 6 years ago
- Memory Aware Synapses method implementation code☆99Oct 8, 2018Updated 7 years ago
- Code for Continual Learning of Context-dependent Processing in Neural Networks☆182Aug 18, 2021Updated 4 years ago
- A pytorch implementation of CVPR 2019 paper Learning without Memorizing.☆17Jul 25, 2024Updated last year
- Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks☆21Oct 24, 2022Updated 3 years ago