PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
☆71Jul 24, 2021Updated 4 years ago
Alternatives and similar repositories for Adam-NSCL
Users that are interested in Adam-NSCL 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 "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Oct 10, 2022Updated 3 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆174Oct 29, 2021Updated 4 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆19Aug 14, 2022Updated 3 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Dec 19, 2022Updated 3 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆100Jun 25, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆77Mar 25, 2023Updated 3 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆148Jun 30, 2022Updated 3 years ago
- ☆15Feb 27, 2024Updated 2 years ago
- ☆67Feb 8, 2022Updated 4 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Jul 5, 2023Updated 2 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Aug 11, 2020Updated 5 years ago
- Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving☆39Jan 24, 2023Updated 3 years ago
- This is a public repository for:☆38Aug 11, 2021Updated 4 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆471Apr 10, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆411Oct 3, 2023Updated 2 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
- Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2…☆22Oct 23, 2023Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆204Oct 14, 2023Updated 2 years ago
- Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.☆12Jan 31, 2021Updated 5 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆222Jan 23, 2019Updated 7 years ago
- ☆29Oct 20, 2021Updated 4 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆196Apr 23, 2021Updated 5 years ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆26Nov 15, 2025Updated 5 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆168Jun 22, 2021Updated 4 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆160Oct 5, 2023Updated 2 years ago
- Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting, (ICCV'21)☆14Aug 4, 2022Updated 3 years ago
- ☆35Jan 3, 2022Updated 4 years ago
- [NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning☆63Mar 10, 2023Updated 3 years ago
- CVPR2022: Meta-attention for ViT-backed Continual Learning☆35Aug 22, 2022Updated 3 years ago
- ☆15Jul 1, 2024Updated last year
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆20Sep 26, 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.
- ☆74Dec 8, 2022Updated 3 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆29May 27, 2023Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆119May 13, 2023Updated 2 years ago
- [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation☆38Oct 8, 2024Updated last year
- 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
- Awesome Few-Shot Class-Incremental Learning☆249Jan 14, 2024Updated 2 years ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆810Apr 20, 2026Updated 2 weeks ago