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Deep Model Transferability from Attribution Maps

Deep Model Transferability from Attribution Maps

26 September 2019
Mingli Song
Yixin Chen
Xinchao Wang
Chengchao Shen
Xiuming Zhang
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Papers citing "Deep Model Transferability from Attribution Maps"

14 / 14 papers shown
Title
k-NN as a Simple and Effective Estimator of Transferability
k-NN as a Simple and Effective Estimator of Transferability
Moein Sorkhei
Christos Matsoukas
Johan Fredin Haslum
Kevin Smith
57
0
0
24 Mar 2025
Model Selection with Model Zoo via Graph Learning
Model Selection with Model Zoo via Graph Learning
Ziyu Li
Hilco van der Wilk
Danning Zhan
Megha Khosla
A. Bozzon
Rihan Hai
46
1
0
05 Apr 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Mingli Song
Junbo Zhao
Gang Chen
42
0
0
11 Mar 2024
Building a Winning Team: Selecting Source Model Ensembles using a
  Submodular Transferability Estimation Approach
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
KB Vimal
Saketh Bachu
Tanmay Garg
Niveditha Lakshmi Narasimhan
Raghavan Konuru
Vineeth N. Balasubramanian
42
2
0
05 Sep 2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle
  Crushing Strength
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Tongya Zheng
Tianli Zhang
Qingzheng Guan
Wenjie Huang
Zunlei Feng
Min-Gyoo Song
Chun-Yen Chen
AI4CE
31
1
0
26 Jul 2023
Deep Model Reassembly
Deep Model Reassembly
Xingyi Yang
Zhou Daquan
Songhua Liu
Jingwen Ye
Xinchao Wang
MoMe
20
120
0
24 Oct 2022
How stable are Transferability Metrics evaluations?
How stable are Transferability Metrics evaluations?
A. Agostinelli
Michal Pándy
J. Uijlings
Thomas Mensink
V. Ferrari
35
22
0
04 Apr 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and
  Treating CNN Classifiers
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
Zunlei Feng
Jiacong Hu
Sai Wu
Xiaotian Yu
Mingli Song
Xiuming Zhang
37
13
0
09 Dec 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang
Qiang Qiu
Kenneth Ward Church
27
4
0
05 Nov 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi
Feng Liu
Wenjing Yang
L. Lan
Tongliang Liu
Bo Han
William Cheung
James T. Kwok
35
27
0
11 Jun 2021
Learning Propagation Rules for Attribution Map Generation
Learning Propagation Rules for Attribution Map Generation
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
FAtt
38
17
0
14 Oct 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based
  Approach
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
Nicholas F Halliwell
Freddy Lecue
FAtt
25
9
0
29 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
48
609
0
10 Sep 2020
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
197
473
0
12 Jun 2018
1