szc12153 / sparse_interpolated_expertsLinks
Official implementation for Sparse MetA-Tuning (SMAT)
☆18Updated 3 months ago
Alternatives and similar repositories for sparse_interpolated_experts
Users that are interested in sparse_interpolated_experts are comparing it to the libraries listed below
Sorting:
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆60Updated 11 months ago
- ☆26Updated 3 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- ☆37Updated last year
- Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)☆36Updated 3 years ago
- Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"☆73Updated last year
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Official repo of Progressive Data Expansion: data, code and evaluation☆29Updated 2 years ago
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆56Updated last year
- ☆36Updated 3 years ago
- Code for Tangent Model Composition for Ensembling and Continual Fine-tuning (ICCV 2023) and Tangent Transformers for Composition, Privacy…☆13Updated last year
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆37Updated last year
- ☆13Updated 3 years ago
- Recycling diverse models☆46Updated 2 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- Patching open-vocabulary models by interpolating weights☆91Updated 2 years ago
- [NeurIPS 2024] RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models☆28Updated last year
- ☆25Updated 2 years ago
- Code for T-MARS data filtering☆35Updated 2 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Updated 5 years ago
- ImageNetV2 Pytorch Dataset☆42Updated 2 years ago
- Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.☆22Updated 4 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆30Updated 2 years ago
- [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries☆29Updated last year
- [WACV 2025] Official implementation of "Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation" by Xiwen Wei, Guihong L…☆51Updated 2 months ago
- ☆39Updated last year
- Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".☆17Updated last year
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆31Updated 2 years ago
- ☆35Updated 2 years ago
- [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"☆26Updated 8 months ago