szc12153 / sparse_interpolated_expertsLinks
Official implementation for Sparse MetA-Tuning (SMAT)
☆17Updated 5 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]☆61Updated last year
- Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)☆36Updated 3 years ago
- ☆26Updated 3 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆31Updated 2 years ago
- (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights☆28Updated last year
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- ☆40Updated last year
- 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"☆57Updated last year
- ☆38Updated last year
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"☆27Updated 10 months ago
- Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"☆74Updated last year
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆12Updated 4 months ago
- Patching open-vocabulary models by interpolating weights☆91Updated 2 years ago
- ImageNetV2 Pytorch Dataset☆42Updated 2 years ago
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆22Updated last year
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆44Updated 2 years ago
- ☆35Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated 2 years ago
- [ICCV 2023] Going Beyond Nouns With Vision & Language Models Using Synthetic Data☆14Updated 2 years ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆55Updated last year
- [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries☆31Updated last year
- Code for T-MARS data filtering☆35Updated 2 years ago
- ☆25Updated 2 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆38Updated last year
- Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"☆14Updated 2 years ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆32Updated 2 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆106Updated 2 years ago