EnnengYang / Awesome-Forgetting-in-Deep-LearningLinks
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
☆344Updated last month
Alternatives and similar repositories for Awesome-Forgetting-in-Deep-Learning
Users that are interested in Awesome-Forgetting-in-Deep-Learning are comparing it to the libraries listed below
Sorting:
- A curated list of Continual Learning papers and BibTeX entries☆200Updated last year
- A paper list of our recent survey on continual learning, and other useful resources in this field.☆99Updated last year
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆545Updated 4 months ago
- ☆148Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆201Updated 2 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆275Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆153Updated 2 years ago
- Code for coreset selection methods☆247Updated 2 years ago
- [ICML 2024] Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models☆33Updated last year
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆468Updated last year
- OOD Generalization相关文章的阅读笔记☆36Updated last year
- ☆24Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆125Updated 2 years ago
- ☆22Updated 9 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆152Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆100Updated 9 months ago
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆409Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆78Updated 8 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆97Updated last year
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆602Updated last year
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆762Updated last month
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆53Updated 2 years ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.☆627Updated this week
- Awesome Few-Shot Class-Incremental Learning☆248Updated last year
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆527Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆53Updated last year
- This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel…☆277Updated last year
- A Comprehensive Survey on Continual Learning in Generative Models.☆102Updated last month