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SpotTune: Transfer Learning through Adaptive Fine-tuning
21 November 2018
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
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Papers citing
"SpotTune: Transfer Learning through Adaptive Fine-tuning"
40 / 40 papers shown
Title
Token Coordinated Prompt Attention is Needed for Visual Prompting
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Kahini Wadhawan
Leonid Karlinsky
Rogerio Feris
William T. Freeman
G. Wornell
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51
158
0
13 Nov 2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
Zhilin Yang
Jiaqi Zhao
Bhuwan Dhingra
Kaiming He
William W. Cohen
Ruslan Salakhutdinov
Yann LeCun
42
36
0
14 Jun 2018
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OOD
MLT
158
1,327
0
23 May 2018
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
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76
364
0
27 Mar 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong Li
Yves Grandvalet
Franck Davoine
SSL
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355
0
05 Feb 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Arun Mallya
Dillon Davis
Svetlana Lazebnik
CLL
62
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0
19 Jan 2018
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OOD
GNN
95
385
0
30 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
95
466
0
22 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson
Risto Miikkulainen
MoE
74
93
0
31 Oct 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
227
2,529
0
02 Jun 2017
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
160
934
0
22 May 2017
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
76
277
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11 May 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILM
FAtt
146
1,515
1
19 Apr 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
139
233
0
28 Feb 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
68
507
0
17 Feb 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
72
147
0
25 Jan 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
251
2,653
0
23 Jan 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
79
203
0
02 Jan 2017
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov
Maxwell D. Collins
Yukun Zhu
Li Zhang
Jonathan Huang
Dmitry Vetrov
Ruslan Salakhutdinov
68
348
0
07 Dec 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
52
387
0
16 Nov 2016
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
339
5,364
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
196
2,533
0
02 Nov 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
775
36,813
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25 Aug 2016
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
298
4,408
0
29 Jun 2016
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
77
2,452
0
15 Jun 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Conditional Computation in Neural Networks for faster models
Emmanuel Bengio
Pierre-Luc Bacon
Joelle Pineau
Doina Precup
AI4CE
157
321
0
19 Nov 2015
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
83
1,841
0
17 Nov 2015
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
378
9,497
0
28 May 2015
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh
Ahmed Elgammal
61
289
0
05 May 2015
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,206
0
10 Feb 2015
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
157
4,940
0
23 Mar 2014
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,193
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
186
4,950
0
06 Oct 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
384
3,135
0
15 Aug 2013
Flexible Modeling of Latent Task Structures in Multitask Learning
Alexandre Passos
Piyush Rai
Jacques Wainer
Hal Daumé
121
53
0
27 Jun 2012
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
261
527
0
27 Jun 2012
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob
Francis R. Bach
Jean-Philippe Vert
117
509
0
11 Sep 2008
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