RL-VIG / LibContinual
A Framework of Continual Learning
β72Updated last week
Related projects β
Alternatives and complementary repositories for LibContinual
- π π A curated list of awesome papers for incremental learning with pre-trained modelsβ47Updated 9 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)β74Updated 9 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learningβ54Updated last month
- β44Updated 2 weeks ago
- Code for NeurIPS 2022 paper βS-Prompts Learning with Pre-trained Transformers: An Occamβs Razor for Domain Incremental Learningββ85Updated last month
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.β56Updated 2 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)β119Updated 2 months ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.β51Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power β¦β37Updated 2 months ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learningβ24Updated last year
- A paper list of our recent survey on continual learning, and other useful resources in this field.β68Updated 8 months ago
- β33Updated 8 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22β177Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"β131Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22β99Updated last year
- Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"β19Updated 2 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Modelsβ80Updated 8 months ago
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)β64Updated 3 weeks ago
- β23Updated last month
- Online Prototype Learning for Online Continual Learning (ICCV 2023)β32Updated 11 months ago
- π PILOT: A Pre-trained Model-Based Continual Learning Toolboxβ310Updated last week
- IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Modelsβ58Updated 9 months ago
- Code for ICML 2024 paper (Oral) β Test-Time Model Adaptation with Only Forward Passesβ46Updated 2 months ago
- Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"β26Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)β89Updated 2 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)β214Updated last week
- [NeurIPS 2023] Focus Your Attention when Few-Shot Classificationβ15Updated 8 months ago
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.β13Updated 10 months ago
- β17Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.β35Updated 11 months ago