Arnav0400 / ViT-SlimLinks
Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”
☆250Updated last year
Alternatives and similar repositories for ViT-Slim
Users that are interested in ViT-Slim are comparing it to the libraries listed below
Sorting:
- [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.☆103Updated 6 months ago
- [ICCV2023] Dataset Quantization☆259Updated last year
- ☆181Updated 9 months ago
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆247Updated 2 years ago
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆258Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆183Updated last year
- ☆279Updated 2 years ago
- Official code for "TOAST: Transfer Learning via Attention Steering"☆189Updated last year
- Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)☆159Updated 3 years ago
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆337Updated 9 months ago
- A framework for merging models solving different tasks with different initializations into one multi-task model without any additional tr…☆301Updated last year
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆232Updated last year
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆99Updated 2 years ago
- CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet☆219Updated 2 years ago
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated 2 years ago
- PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"☆237Updated 2 years ago
- Dataset pruning for ImageNet and LAION-2B.☆78Updated last year
- SVIT: Scaling up Visual Instruction Tuning☆163Updated last year
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆169Updated 3 weeks ago
- [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".☆55Updated 2 years ago
- ☆654Updated 3 weeks ago
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆304Updated 3 months ago
- [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"☆315Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆282Updated last year
- Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations☆189Updated last year
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆104Updated last year
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆54Updated last year
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time☆474Updated last year
- Official implementation of TransNormerLLM: A Faster and Better LLM☆247Updated last year
- Implementation of "Attention Is Off By One" by Evan Miller☆193Updated last year