iamwangyabin / ESN
Official implementation of AAAI 2023 paper "Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference".
☆34Updated last year
Alternatives and similar repositories for ESN:
Users that are interested in ESN are comparing it to the libraries listed below
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆93Updated 4 months ago
- ☆47Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆135Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆110Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆131Updated 5 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆49Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated 2 years ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆75Updated 4 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆31Updated 7 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆85Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆107Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆187Updated last year
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆65Updated 11 months ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆63Updated 5 months ago
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆36Updated last year
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆25Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆33Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆42Updated this week
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆79Updated 3 months ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆41Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆88Updated 2 years ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆41Updated 5 months ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆135Updated 2 years ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆40Updated 8 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆86Updated 11 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆41Updated last year
- ICLR2024 paper on Continual Learning☆31Updated 9 months ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆24Updated last year
- Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"☆14Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆123Updated last year