google-research / l2pLinks
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
☆464Updated last year
Alternatives and similar repositories for l2p
Users that are interested in l2p are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆198Updated 2 years ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆120Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆149Updated 2 years ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆746Updated 2 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆104Updated last year
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆508Updated 2 months ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆145Updated 3 years ago
- Test-time Adaptation, Test-time Training and Source-free Domain Adaptation☆521Updated last year
- PyContinual (An Easy and Extendible Framework for Continual Learning)☆319Updated last year
- Class-Incremental Learning: A Survey (TPAMI 2024)☆264Updated 11 months 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)☆149Updated last year
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop☆41Updated last year
- A curated list of Continual Learning papers and BibTeX entries☆196Updated last year
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆555Updated 2 years ago
- Awesome Few-Shot Class-Incremental Learning☆244Updated last year
- A list of papers that studies Novel Class Discovery☆505Updated 2 months ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆164Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 2 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆76Updated 6 months ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆165Updated 4 years ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆329Updated last week
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆409Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆118Updated 2 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆413Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago
- Exploring Visual Prompts for Adapting Large-Scale Models☆284Updated 3 years ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆54Updated 8 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 11 months ago