ShipengWang / Adam-NSCLView external linksLinks
PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
☆70Jul 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
Sorting:
- ☆22Jul 30, 2023Updated 2 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Oct 10, 2022Updated 3 years ago
- Implementation of [MNTDP](https://arxiv.org/abs/2012.12631)☆18Mar 9, 2022Updated 3 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Jul 5, 2023Updated 2 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆17Aug 14, 2022Updated 3 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆169Oct 29, 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 2 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆99Jun 25, 2021Updated 4 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Dec 19, 2022Updated 3 years ago
- ☆67Feb 8, 2022Updated 4 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆148Jun 30, 2022Updated 3 years ago
- Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.☆12Jan 31, 2021Updated 5 years ago
- A clean and simple data loading library for Continual Learning☆445Jun 25, 2023Updated 2 years ago
- This is a public repository for:☆39Aug 11, 2021Updated 4 years ago
- Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving☆39Jan 24, 2023Updated 3 years ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆19Sep 26, 2023Updated 2 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆471Apr 10, 2025Updated 10 months ago
- ☆29Oct 20, 2021Updated 4 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆30May 27, 2023Updated 2 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆120Aug 11, 2020Updated 5 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆167Jun 22, 2021Updated 4 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆408Oct 3, 2023Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Aug 25, 2024Updated last year
- CVPR2022: Meta-attention for ViT-backed Continual Learning☆35Aug 22, 2022Updated 3 years ago
- [NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning☆63Mar 10, 2023Updated 2 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆220Jan 23, 2019Updated 7 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆119May 13, 2023Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆203Oct 14, 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
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆20Nov 15, 2025Updated 3 months ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆473Jul 30, 2024Updated last year
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Nov 30, 2022Updated 3 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆194Apr 23, 2021Updated 4 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Mar 21, 2022Updated 3 years ago
- Official code release for paper "Improving Confidence Estimates for Unfamiliar Examples" https://arxiv.org/abs/1804.03166☆12Aug 16, 2020Updated 5 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
- ☆12Dec 20, 2020Updated 5 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