naderAsadi / CLHiveLinks
A PyTorch framework for Continual Learning research.
☆22Updated last year
Alternatives and similar repositories for CLHive
Users that are interested in CLHive are comparing it to the libraries listed below
Sorting:
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- ☆10Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆119Updated 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
- ☆59Updated 3 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆38Updated 3 years ago
- ☆36Updated 3 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- ☆33Updated 2 years ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆120Updated 2 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆95Updated 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
- Class-Incremental Learning: A Survey (TPAMI 2024)☆264Updated 10 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated 10 months ago
- (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network☆24Updated 4 years ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆48Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆197Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 7 months ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆48Updated 7 months ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆163Updated 3 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 5 months ago
- ☆35Updated 3 years ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated last year
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆23Updated 3 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 2 years ago
- ☆13Updated 2 years ago
- ☆29Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆132Updated last year
- List of papers that combine self-supervision and continual learning☆68Updated 6 months ago