ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.05010
  4. Cited By
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for
  Adaptive ViT Inference

PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference

6 July 2024
Ye Li
Chen Tang
Yuan Meng
Jiajun Fan
Zenghao Chai
Xinzhu Ma
Zhi Wang
Wenwu Zhu
ArXivPDFHTML

Papers citing "PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference"

4 / 4 papers shown
Title
VLT: Vision-Language Transformer and Query Generation for Referring
  Segmentation
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding
Chang Liu
Suchen Wang
Xudong Jiang
61
115
0
28 Oct 2022
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully
  Exploiting Self-Attention
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention
Xiangcheng Liu
Tianyi Wu
Guodong Guo
ViT
38
26
0
28 Sep 2022
Dynamic Spatial Sparsification for Efficient Vision Transformers and
  Convolutional Neural Networks
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks
Yongming Rao
Zuyan Liu
Wenliang Zhao
Jie Zhou
Jiwen Lu
ViT
39
35
0
04 Jul 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
1