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Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
v1v2 (latest)

Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

Computer Vision and Pattern Recognition (CVPR), 2017
28 February 2017
Weifeng Ge
Yizhou Yu
ArXiv (abs)PDFHTML

Papers citing "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning"

49 / 99 papers shown
Title
$n$-Reference Transfer Learning for Saliency Prediction
nnn-Reference Transfer Learning for Saliency PredictionEuropean Conference on Computer Vision (ECCV), 2020
Yan Luo
Yongkang Wong
Mohan Kankanhalli
Qi Zhao
92
6
0
09 Jul 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through
  Re-Initializing the Fully-connected LayEr
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Xingjian Li
Haoyi Xiong
Haozhe An
Chengzhong Xu
Dejing Dou
ODL
122
43
0
07 Jul 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep ClusteringComputer Vision and Pattern Recognition (CVPR), 2020
Hui Tang
Ke Chen
Kui Jia
CMLOOD
175
312
0
19 Mar 2020
Channel Interaction Networks for Fine-Grained Image Categorization
Channel Interaction Networks for Fine-Grained Image CategorizationAAAI Conference on Artificial Intelligence (AAAI), 2020
Yu Gao
Xintong Han
Xun Wang
Weilin Huang
Matthew R. Scott
287
170
0
11 Mar 2020
Rethinking the Hyperparameters for Fine-tuning
Rethinking the Hyperparameters for Fine-tuningInternational Conference on Learning Representations (ICLR), 2020
Hao Li
Pratik Chaudhari
Hao Yang
Michael Lam
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
VLM
168
137
0
19 Feb 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image ClassificationIEEE Transactions on Image Processing (TIP), 2020
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
296
344
0
11 Feb 2020
Renofeation: A Simple Transfer Learning Method for Improved Adversarial
  Robustness
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
Ting-Wu Chin
Cha Zhang
Diana Marculescu
AAML
117
1
0
07 Feb 2020
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of
  Autoencoders
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders
Inseok Hwang
Jinho Lee
Frank Liu
Minsik Cho
75
5
0
14 Jan 2020
Measuring Dataset Granularity
Measuring Dataset Granularity
Huayu Chen
Zeqi Gu
D. Mahajan
Laurens van der Maaten
Serge J. Belongie
Ser-Nam Lim
116
13
0
21 Dec 2019
Research Frontiers in Transfer Learning -- a systematic and bibliometric
  review
Research Frontiers in Transfer Learning -- a systematic and bibliometric review
Frederico Guth
Teofilo de Campos
130
0
0
18 Dec 2019
A Broader Study of Cross-Domain Few-Shot Learning
A Broader Study of Cross-Domain Few-Shot Learning
Yunhui Guo
Noel Codella
Leonid Karlinsky
James V. Codella
John R. Smith
Kate Saenko
Tajana Simunic
Rogerio Feris
175
45
0
16 Dec 2019
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Yunhui Guo
Yandong Li
Liqiang Wang
Tajana Simunic
179
43
0
21 Nov 2019
Towards Making Deep Transfer Learning Never Hurt
Towards Making Deep Transfer Learning Never HurtIndustrial Conference on Data Mining (IDM), 2019
Ruosi Wan
Haoyi Xiong
Xingjian Li
Zhanxing Zhu
Jun Huan
126
21
0
18 Nov 2019
Supervised level-wise pretraining for recurrent neural network
  initialization in multi-class classification
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification
Dino Ienco
R. Interdonato
R. Gaetano
AI4CE
75
1
0
04 Nov 2019
Towards Understanding the Transferability of Deep Representations
Towards Understanding the Transferability of Deep Representations
Hong Liu
Mingsheng Long
Jianmin Wang
Sai Li
112
28
0
26 Sep 2019
Learning to Transfer Learn: Reinforcement Learning-Based Selection for
  Adaptive Transfer Learning
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning
Linchao Zhu
Sercan O. Arik
Yezhou Yang
Tomas Pfister
193
5
0
29 Aug 2019
P2L: Predicting Transfer Learning for Images and Semantic Relations
P2L: Predicting Transfer Learning for Images and Semantic Relations
Bishwaranjan Bhattacharjee
J. Kender
Matthew Q. Hill
Parijat Dube
Siyu Huo
Michael R. Glass
Brian M. Belgodere
Sharath Pankanti
Noel Codella
Patrick Watson
VLM
261
13
0
20 Aug 2019
Regularizing CNN Transfer Learning with Randomised Regression
Regularizing CNN Transfer Learning with Randomised RegressionComputer Vision and Pattern Recognition (CVPR), 2019
Yang Zhong
A. Maki
178
14
0
16 Aug 2019
Deep Learning for Detecting Building Defects Using Convolutional Neural
  Networks
Deep Learning for Detecting Building Defects Using Convolutional Neural NetworksItalian National Conference on Sensors (INS), 2019
H. Perez
J. Tah
Amir H. Mosavi
92
221
0
06 Aug 2019
Forecasting with time series imaging
Forecasting with time series imaging
Xixi Li
Yanfei Kang
Feng Li
AI4TS
237
100
0
17 Apr 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
319
225
0
12 Mar 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image
  Classification from the Bottom Up
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
Weifeng Ge
Xiangru Lin
Yizhou Yu
191
287
0
07 Mar 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for
  Convolutional Networks
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li
Haoyi Xiong
Hanchao Wang
Yuxuan Rao
Liping Liu
Zeyu Chen
Jun Huan
199
176
0
26 Jan 2019
Unsupervised Domain Adaptation using Generative Models and
  Self-ensembling
Unsupervised Domain Adaptation using Generative Models and Self-ensembling
Eman T. Hassan
Xin Chen
David J. Crandall
OOD
163
7
0
02 Dec 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuningComputer Vision and Pattern Recognition (CVPR), 2018
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
282
485
0
21 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models
Domain Adaptive Transfer Learning with Specialist Models
Jiquan Ngiam
Daiyi Peng
Vijay Vasudevan
Simon Kornblith
Quoc V. Le
Ruoming Pang
196
113
0
16 Nov 2018
Gated Transfer Network for Transfer Learning
Gated Transfer Network for Transfer Learning
Yi Zhu
Jia Xue
Shawn D. Newsam
124
2
0
30 Oct 2018
Target Aware Network Adaptation for Efficient Representation Learning
Target Aware Network Adaptation for Efficient Representation Learning
Yang Zhong
Vladimir Li
R. Okada
A. Maki
116
6
0
02 Oct 2018
Instance-based Deep Transfer Learning
Instance-based Deep Transfer Learning
Tianyang Wang
Jun Huan
M. Zhu
89
48
0
08 Sep 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce
  Training Data
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Carola Figueroa Flores
Abel Gonzalez-Garcia
Joost van de Weijer
Bogdan Raducanu
206
51
0
01 Aug 2018
Improving Transferability of Deep Neural Networks
Improving Transferability of Deep Neural Networks
Parijat Dube
Bishwaranjan Bhattacharjee
Elisabeth Petit-Bois
Matthew Q. Hill
82
12
0
30 Jul 2018
Fine-Grained Visual Categorization using Meta-Learning Optimization with
  Sample Selection of Auxiliary Data
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang
Hui Tang
Kui Jia
152
100
0
28 Jul 2018
Residual Network based Aggregation Model for Skin Lesion Classification
Residual Network based Aggregation Model for Skin Lesion Classification
Yongsheng Pan
Yong-quan Xia
MedIm
90
6
0
24 Jul 2018
Land-Cover Classification with High-Resolution Remote Sensing Images
  Using Transferable Deep Models
Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models
Xin-Yi Tong
Guisong Xia
Qikai Lu
Huanfeng Shen
Shengyang Li
S. You
Liangpei Zhang
341
868
0
16 Jul 2018
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
Ehsan Hosseini-Asl
Yingbo Zhou
Caiming Xiong
R. Socher
178
12
0
01 Jul 2018
Sparse, Collaborative, or Nonnegative Representation: Which Helps
  Pattern Classification?
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu
Wangpeng An
Lei Zhang
David C. Zhang
BDL
264
126
0
12 Jun 2018
SOSELETO: A Unified Approach to Transfer Learning and Training with
  Noisy Labels
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
Or Litany
Daniel Freedman
NoLa
167
13
0
24 May 2018
Building Extraction at Scale using Convolutional Neural Network: Mapping
  of the United States
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States
Hsiuhan Lexie Yang
Jiangye Yuan
D. Lunga
M. Laverdiere
A. Rose
B. Bhaduri
127
183
0
23 May 2018
Real-world plant species identification based on deep convolutional
  neural networks and visual attention
Real-world plant species identification based on deep convolutional neural networks and visual attention
Qingguo Xiao
Guangyao Li
Li Xie
Qiaochuan Chen
157
26
0
11 Apr 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
422
2,171
0
10 Feb 2018
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
312
396
0
05 Feb 2018
Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing
Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing
John McKay
Isaac D. Gerg
V. Monga
53
6
0
08 Jan 2018
Deep Nearest Class Mean Model for Incremental Odor Classification
Deep Nearest Class Mean Model for Incremental Odor Classification
Yu Cheng
Kin-Yeung Wong
Kevin Hung
Zhizhong Li
Weitong Li
Jun Zhang
96
10
0
08 Jan 2018
Transfer Learning in CNNs Using Filter-Trees
Transfer Learning in CNNs Using Filter-Trees
S. Kumaraswamy
P. Sastry
K. Ramakrishnan
55
1
0
27 Nov 2017
Optimal Transport for Deep Joint Transfer Learning
Optimal Transport for Deep Joint Transfer Learning
Ying Lu
Liming Chen
A. Saidi
76
9
0
09 Sep 2017
Transfer Learning for Performance Modeling of Configurable Systems: An
  Exploratory Analysis
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Pooyan Jamshidi
Norbert Siegmund
Miguel Velez
Jane Hsieh
Akshay Patel
Yuvraj Agarwal
157
128
0
07 Sep 2017
Adaptive SVM+: Learning with Privileged Information for Domain
  Adaptation
Adaptive SVM+: Learning with Privileged Information for Domain Adaptation
N. Sarafianos
Michalis Vrigkas
I. Kakadiaris
170
24
0
30 Aug 2017
Building Graph Representations of Deep Vector Embeddings
Building Graph Representations of Deep Vector Embeddings
Dario Garcia-Gasulla
Armand Vilalta
Ferran Parés
Jonathan Moreno
Eduard Ayguadé
Jesús Labarta
Ulises Cortés
Toyotaro Suzumura
GNN
94
4
0
24 Jul 2017
An Out-of-the-box Full-network Embedding for Convolutional Neural
  Networks
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks
Dario Garcia-Gasulla
Armand Vilalta
Ferran Parés
Jonatan Moreno
Eduard Ayguadé
Jesús Labarta
Ulises Cortés
Toyotaro Suzumura
135
20
0
22 May 2017
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