simomagi / elastic_feature_consolidationLinks
[ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
☆29Updated 5 months ago
Alternatives and similar repositories for elastic_feature_consolidation
Users that are interested in elastic_feature_consolidation are comparing it to the libraries listed below
Sorting:
- ICLR2024 paper on Continual Learning☆37Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 9 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆150Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆94Updated 8 months ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆30Updated 7 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆150Updated 2 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆105Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆88Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated 2 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆76Updated 7 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆51Updated last year
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆18Updated last year
- Code for our NeurIPS´24 paper☆36Updated last year
- Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)☆37Updated 3 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆19Updated this week
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆47Updated 4 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆103Updated 2 years ago
- ☆47Updated 7 months ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆53Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆105Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆91Updated 2 years ago
- Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 20…☆27Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆25Updated 5 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆35Updated 5 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆121Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆199Updated 2 years ago
- ☆54Updated 2 years ago
- ☆33Updated 2 years ago