TamashaM / NAPA-VQLinks
☆12Updated last year
Alternatives and similar repositories for NAPA-VQ
Users that are interested in NAPA-VQ are comparing it to the libraries listed below
Sorting:
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆25Updated 6 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆16Updated 9 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆74Updated 3 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 2 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆119Updated 2 years ago
- ☆22Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated 11 months ago
- PyTorch implementation of "PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning"☆16Updated 9 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆143Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆101Updated 9 months ago
- ☆31Updated 9 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 8 months ago
- ☆16Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆197Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆39Updated 2 weeks ago
- ☆24Updated last month
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆85Updated 4 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 11 months ago
- Instruction Tuning in Continual Learning paradigm☆53Updated 5 months ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆26Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 5 months ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated last year
- ☆21Updated 6 months ago
- Code for our NeurIPS´24 paper☆33Updated 8 months ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆12Updated 2 years ago
- IJCAI 2024 - LPS☆12Updated 5 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆61Updated last year
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆28Updated last month
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆145Updated 10 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year