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2003.07496
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DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
Computer Vision and Pattern Recognition (CVPR), 2020
17 March 2020
Mingli Song
Yixin Chen
Jingwen Ye
Xinchao Wang
Chengchao Shen
Feng Mao
Xiuming Zhang
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Papers citing
"DEPARA: Deep Attribution Graph for Deep Knowledge Transferability"
22 / 22 papers shown
Title
k-NN as a Simple and Effective Estimator of Transferability
Moein Sorkhei
Christos Matsoukas
Johan Fredin Haslum
Emir Konuk
Kevin Smith
202
0
0
24 Mar 2025
Efficient Transferability Assessment for Selection of Pre-trained Detectors
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Zhao Wang
Aoxue Li
Zhenguo Li
Qi Dou
114
0
0
14 Mar 2024
Pre-Trained Model Recommendation for Downstream Fine-tuning
Jiameng Bai
Sai Wu
Mingli Song
Junbo Zhao
Gang Chen
180
5
0
11 Mar 2024
ModelGiF: Gradient Fields for Model Functional Distance
IEEE International Conference on Computer Vision (ICCV), 2023
Mingli Song
Zhenxing Xu
Sai Wu
Gang Chen
Weilong Dai
DiffM
114
6
0
20 Sep 2023
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
IEEE International Conference on Computer Vision (ICCV), 2023
KB Vimal
Saketh Bachu
Tanmay Garg
Niveditha Lakshmi Narasimhan
Raghavan Konuru
Vineeth N. Balasubramanian
145
2
0
05 Sep 2023
Transferability Metrics for Object Detection
Louis Fouquet
Simona Maggio
L. Dreyfus-Schmidt
106
1
0
27 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Neural Information Processing Systems (NeurIPS), 2023
Yi-Kai Zhang
Ting Huang
Yao-Xiang Ding
De-Chuan Zhan
Han-Jia Ye
192
38
0
06 Jun 2023
Towards Estimating Transferability using Hard Subsets
Tarun Ram Menta
Surgan Jandial
A. Patil
K.U. Vimal
Saketh Bachu
Balaji Krishnamurthy
V. Balasubramanian
Chirag Agarwal
Mausoom Sarkar
105
0
0
17 Jan 2023
Transferability Estimation Based On Principal Gradient Expectation
Huiyan Qi
Lechao Cheng
Jingjing Chen
Yue Yu
Xue Song
Zunlei Feng
Yueping Jiang
140
3
0
29 Nov 2022
How stable are Transferability Metrics evaluations?
European Conference on Computer Vision (ECCV), 2022
A. Agostinelli
Michal Pándy
J. Uijlings
Thomas Mensink
V. Ferrari
237
29
0
04 Apr 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Neural Information Processing Systems (NeurIPS), 2022
Jixuan Wang
Kuan-Chieh Wang
Frank Rudzicz
M. Brudno
VLM
91
24
0
27 Jan 2022
Transferability Metrics for Selecting Source Model Ensembles
A. Agostinelli
J. Uijlings
Thomas Mensink
V. Ferrari
169
29
0
25 Nov 2021
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks
Naresh Gurulingan
Elahe Arani
Bahram Zonooz
89
8
0
10 Aug 2021
Frustratingly Easy Transferability Estimation
International Conference on Machine Learning (ICML), 2021
Long-Kai Huang
Ying Wei
Yu Rong
Qiang Yang
Junzhou Huang
242
67
0
17 Jun 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Neural Information Processing Systems (NeurIPS), 2021
Haoang Chi
Yifan Zhang
Wenjing Yang
L. Lan
Tongliang Liu
Bo Han
William Cheung
James T. Kwok
153
32
0
11 Jun 2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
International Conference on Learning Representations (ICLR), 2021
Haoang Chi
Yifan Zhang
Bo Han
Wenjing Yang
L. Lan
Tongliang Liu
Gang Niu
Mingyuan Zhou
Masashi Sugiyama
196
49
0
08 Feb 2021
Progressive Network Grafting for Few-Shot Knowledge Distillation
Chengchao Shen
Xinchao Wang
Youtan Yin
Mingli Song
Sihui Luo
Xiuming Zhang
193
52
0
09 Dec 2020
Ranking Neural Checkpoints
Computer Vision and Pattern Recognition (CVPR), 2020
Yandong Li
Xuhui Jia
Ruoxin Sang
Yukun Zhu
Bradley Green
Liqiang Wang
Boqing Gong
FedML
ELM
UQCV
254
56
0
23 Nov 2020
An Information-Geometric Distance on the Space of Tasks
International Conference on Machine Learning (ICML), 2020
Yansong Gao
Pratik Chaudhari
143
22
0
01 Nov 2020
Learning Propagation Rules for Attribution Map Generation
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
FAtt
100
17
0
14 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
155
28
0
13 Oct 2020
Factorizable Graph Convolutional Networks
Yiding Yang
Zunlei Feng
Xiuming Zhang
Xinchao Wang
GNN
180
158
0
12 Oct 2020
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