alviur / ldcLinks
Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.
☆16Updated 9 months ago
Alternatives and similar repositories for ldc
Users that are interested in ldc are comparing it to the libraries listed below
Sorting:
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 5 months ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆29Updated 3 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆87Updated 5 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 6 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆40Updated 9 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆102Updated 11 months ago
- Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 20…☆27Updated 10 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆43Updated last month
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆119Updated 2 years ago
- ICLR2024 paper on Continual Learning☆36Updated last year
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 4 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆32Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆17Updated 10 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆146Updated last year
- ☆44Updated 4 months ago
- Code for our NeurIPS´24 paper☆35Updated 10 months ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆26Updated 8 months ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆24Updated 2 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆64Updated last year
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆60Updated 2 weeks ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆195Updated last year
- ☆22Updated last year
- ☆12Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 9 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆56Updated 2 months ago
- External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)☆33Updated last week
- ☆20Updated 8 months ago
- PyTorch implementation of "PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning"☆17Updated 11 months ago