Wang-ML-Lab / unified-continual-learningLinks
[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
☆45Updated 7 months ago
Alternatives and similar repositories for unified-continual-learning
Users that are interested in unified-continual-learning are comparing it to the libraries listed below
Sorting:
- ICLR2024 paper on Continual Learning☆36Updated last year
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 4 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 6 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆40Updated 9 months ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆116Updated 2 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Updated 3 years ago
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆51Updated 2 years ago
- A PyTorch framework for Continual Learning research.☆22Updated last year
- Class-Incremental Learning: A Survey (TPAMI 2024)☆263Updated 9 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆37Updated last year
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆120Updated last year
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"☆15Updated 11 months ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆56Updated 2 years ago
- Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022☆24Updated 2 years ago
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆23Updated 3 years ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆43Updated 2 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆95Updated 4 years ago
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.☆100Updated 3 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆30Updated 2 years ago
- Awesome Few-Shot Class-Incremental Learning☆242Updated last year
- ☆58Updated 3 years ago
- Official implementation for paper titled "Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning" accepted at I…☆17Updated last year
- ☆64Updated 3 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆38Updated 3 years ago