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ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model
  Reuse

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

17 August 2023
Yi-Kai Zhang
Lu Ren
Chao Yi
Qiwen Wang
De-Chuan Zhan
Han-Jia Ye
ArXivPDFHTML

Papers citing "ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse"

21 / 21 papers shown
Title
Visual Query Tuning: Towards Effective Usage of Intermediate
  Representations for Parameter and Memory Efficient Transfer Learning
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
Cheng-Hao Tu
Zheda Mai
Wei-Lun Chao
45
47
0
06 Dec 2022
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
Shibo Jie
Zhi-Hong Deng
49
131
0
06 Dec 2022
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan
Hanie Sedghi
O. Saukh
R. Entezari
Behnam Neyshabur
MoMe
62
97
0
15 Nov 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
74
258
0
17 Oct 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
287
330
0
11 Sep 2022
Convolutional Bypasses Are Better Vision Transformer Adapters
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
59
133
0
14 Jul 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
148
1,624
0
23 Mar 2022
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
124
724
0
04 Sep 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
162
1,218
0
18 Jun 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
223
4,254
0
01 Jan 2021
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
74
400
0
14 Dec 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
95
1,241
0
20 Feb 2020
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot
  Learning
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang
Wei-Lun Chao
Kilian Q. Weinberger
Laurens van der Maaten
VLM
69
340
0
12 Nov 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
144
1,049
0
23 Oct 2019
Model Fusion via Optimal Transport
Model Fusion via Optimal Transport
Sidak Pal Singh
Martin Jaggi
MoMe
FedML
101
234
0
12 Oct 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
118
977
0
23 Jul 2019
Relational Knowledge Distillation
Relational Knowledge Distillation
Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
65
1,412
0
10 Apr 2019
Explicit Inductive Bias for Transfer Learning with Convolutional
  Networks
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong Li
Yves Grandvalet
Franck Davoine
SSL
77
354
0
05 Feb 2018
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
431
18,350
0
27 May 2016
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
300
3,883
0
19 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 2014
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