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

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

28 February 2017
Weifeng Ge
Yizhou Yu
ArXivPDFHTML

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

32 / 32 papers shown
Title
KITE: A Kernel-based Improved Transferability Estimation Method
KITE: A Kernel-based Improved Transferability Estimation Method
Yunhui Guo
43
0
0
01 May 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
21
0
0
29 Jan 2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
36
57
0
11 Jul 2023
Interpretations of Domain Adaptations via Layer Variational Analysis
Interpretations of Domain Adaptations via Layer Variational Analysis
H. Tseng
Hsin-Yi Lin
Kuo-Hsuan Hung
Yu Tsao
FAtt
25
3
0
03 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Haichao Zhang
Weiwen Xu
Haonan Yu
CLL
OffRL
OnRL
34
62
0
02 Feb 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
18
5
0
02 Jan 2023
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
31
136
0
01 Dec 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
24
23
0
29 Nov 2022
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
16
28
0
20 Sep 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
32
80
0
24 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
35
77
0
03 Mar 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
59
108
0
17 Jan 2021
Which Model to Transfer? Finding the Needle in the Growing Haystack
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
23
23
0
13 Oct 2020
Hallucinating Saliency Maps for Fine-Grained Image Classification for
  Limited Data Domains
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Carola Figueroa Flores
Bogdan Raducanu
David Berga
Joost van de Weijer
17
6
0
24 Jul 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang
Ke Chen
K. Jia
CML
OOD
11
269
0
19 Mar 2020
Channel Interaction Networks for Fine-Grained Image Categorization
Channel Interaction Networks for Fine-Grained Image Categorization
Yu Gao
Xintong Han
Xun Wang
Weilin Huang
Matthew R. Scott
69
157
0
11 Mar 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 Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
27
300
0
11 Feb 2020
Measuring Dataset Granularity
Measuring Dataset Granularity
Yin Cui
Zeqi Gu
D. Mahajan
L. V. D. van der Maaten
Serge J. Belongie
Ser-Nam Lim
24
13
0
21 Dec 2019
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Yunhui Guo
Yandong Li
Liqiang Wang
Tajana Simunic
27
41
0
21 Nov 2019
Towards Making Deep Transfer Learning Never Hurt
Towards Making Deep Transfer Learning Never Hurt
Ruosi Wan
Haoyi Xiong
Xingjian Li
Zhanxing Zhu
Jun Huan
14
21
0
18 Nov 2019
Towards Understanding the Transferability of Deep Representations
Towards Understanding the Transferability of Deep Representations
Hong Liu
Mingsheng Long
Jianmin Wang
Michael I. Jordan
21
25
0
26 Sep 2019
Regularizing CNN Transfer Learning with Randomised Regression
Regularizing CNN Transfer Learning with Randomised Regression
Yang Zhong
A. Maki
11
13
0
16 Aug 2019
Forecasting with time series imaging
Forecasting with time series imaging
Xixi Li
Yanfei Kang
Feng Li
AI4TS
6
83
0
17 Apr 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
45
183
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
26
255
0
07 Mar 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
20
7
0
02 Dec 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
34
444
0
21 Nov 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
19
5
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
13
731
0
16 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
90
119
0
12 Jun 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
21
10
0
08 Jan 2018
Optimal Transport for Deep Joint Transfer Learning
Optimal Transport for Deep Joint Transfer Learning
Ying Lu
Liming Luke Chen
A. Saidi
16
8
0
09 Sep 2017
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