xjwu1024 / PPT
The codebase for paper "PPT: Token Pruning and Pooling for Efficient Vision Transformer"
☆23Updated 5 months ago
Alternatives and similar repositories for PPT:
Users that are interested in PPT are comparing it to the libraries listed below
- ☆45Updated last year
- ☆12Updated last year
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆95Updated last year
- [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference☆30Updated last year
- ☆26Updated 2 years ago
- ☆47Updated 8 months ago
- ☆26Updated last year
- Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer☆72Updated 2 years ago
- BESA is a differentiable weight pruning technique for large language models.☆16Updated last year
- [ECCV 2024] Isomorphic Pruning for Vision Models☆68Updated 9 months ago
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Updated last year
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 2 years ago
- ☆18Updated 3 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆36Updated last year
- Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …☆35Updated last year
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated 2 years ago
- ☆22Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated last year
- [CVPR 2025] DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models☆14Updated last month
- ☆21Updated 2 years ago
- ☆38Updated last year
- Official implementation for ICLR 2023 paper Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation☆16Updated last year
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆13Updated 3 months ago
- super-resolution; post-training quantization; model compression☆12Updated last year
- PELA: Learning Parameter-Efficient Models with Low-Rank Approximation [CVPR 2024]☆16Updated last year
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆70Updated last year
- Code for Learned Thresholds Token Merging and Pruning for Vision Transformers (LTMP). A technique to reduce the size of Vision Transforme…☆16Updated 5 months ago
- ☆24Updated 3 years ago
- [ICCV 2021] Official implementation of "Scalable Vision Transformers with Hierarchical Pooling"☆33Updated 3 years ago