NeurAI-Lab / CLS-ERLinks
The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System""
☆53Updated 2 years ago
Alternatives and similar repositories for CLS-ER
Users that are interested in CLS-ER are comparing it to the libraries listed below
Sorting:
- ☆67Updated 3 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆99Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆150Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 9 months ago
- ☆29Updated 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
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Updated 3 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆39Updated 3 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆51Updated 10 months ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆97Updated 4 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆117Updated 2 years ago
- ☆69Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆102Updated 4 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆134Updated 2 years ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆74Updated last year
- ☆33Updated 2 years ago
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆23Updated 3 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆36Updated 2 years ago
- ☆28Updated 4 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 4 years ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆92Updated 2 years ago
- List of papers that combine self-supervision and continual learning☆74Updated 8 months ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆18Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year