IemProg / CoFiMALinks
π₯ π₯ [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"
β31Updated 9 months ago
Alternatives and similar repositories for CoFiMA
Users that are interested in CoFiMA are comparing it to the libraries listed below
Sorting:
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!β60Updated 9 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"β43Updated 2 years ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)β20Updated 2 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)β153Updated last year
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learningβ30Updated 7 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Modelsβ106Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]β36Updated 7 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.β51Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paperβ57Updated 11 months ago
- β55Updated 2 years ago
- ICLR2024 paper on Continual Learningβ38Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".β108Updated 3 years ago
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.β30Updated 2 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Classβ¦β93Updated 2 years ago
- β56Updated 2 years ago
- Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)β40Updated 5 months ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"β12Updated 10 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)β90Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learningβ102Updated 10 months ago
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022β94Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluationβ40Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"β156Updated 2 years ago
- Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 20β¦β27Updated last year
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformerβ28Updated 5 months ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)β29Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, β¦β23Updated last year
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learningβ¦β35Updated 2 years ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".β46Updated last year
- β71Updated 2 years ago
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework fβ¦β25Updated last year