ExplainableML / fomo_in_fluxLinks
Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
☆61Updated last year
Alternatives and similar repositories for fomo_in_flux
Users that are interested in fomo_in_flux are comparing it to the libraries listed below
Sorting:
- [NeurIPS'24] Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization☆39Updated last year
- [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models☆79Updated 8 months ago
- Model Merging with SVD to Tie the KnOTS [ICLR 2025]☆85Updated 10 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆33Updated 2 years ago
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Data-Efficient Multimodal Fusion on a Single GPU☆68Updated last year
- [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"☆27Updated 11 months ago
- ☆35Updated 2 years ago
- Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…☆22Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆44Updated 2 years ago
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆57Updated last year
- ☆54Updated last year
- [WACV 2025] Official implementation of "Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation" by Xiwen Wei, Guihong L…☆55Updated 5 months ago
- https://arxiv.org/abs/2209.15162☆53Updated 3 years ago
- ☆56Updated 5 months ago
- Pytorch Implementation for "Preserving Linear Separability in Continual Learning by Backward Feature Projection" (CVPR 2023)☆18Updated 2 years ago
- Official implementation for Sparse MetA-Tuning (SMAT)☆17Updated 6 months ago
- Test-Time Distribution Normalization For Contrastively Learned Vision-language Models☆27Updated 2 years ago
- [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.☆27Updated 2 years ago
- Do Vision and Language Models Share Concepts? A Vector Space Alignment Study☆16Updated last year
- ☆38Updated 2 years ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- An Enhanced CLIP Framework for Learning with Synthetic Captions☆39Updated 9 months ago
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆47Updated last year
- Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"☆37Updated last year
- Patching open-vocabulary models by interpolating weights☆91Updated 2 years ago
- [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models☆36Updated last year
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- Code repository for the paper - "Neural Priming for Sample-Efficient Adaptation"☆14Updated 2 years ago
- [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"☆11Updated last year