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A Unified Perspective on Multi-Domain and Multi-Task Learning

A Unified Perspective on Multi-Domain and Multi-Task Learning

23 December 2014
Yongxin Yang
Timothy M. Hospedales
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Papers citing "A Unified Perspective on Multi-Domain and Multi-Task Learning"

7 / 7 papers shown
Title
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
192
14,703
0
20 Jun 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
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
160
4,946
0
06 Oct 2013
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDL
VLM
106
1,467
0
16 Jan 2013
Domain Adaptations for Computer Vision Applications
Domain Adaptations for Computer Vision Applications
Oscar Beijbom
OOD
56
39
0
20 Nov 2012
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
243
526
0
27 Jun 2012
Flexible Modeling of Latent Task Structures in Multitask Learning
Flexible Modeling of Latent Task Structures in Multitask Learning
Alexandre Passos
Piyush Rai
Jacques Wainer
Hal Daumé
100
53
0
27 Jun 2012
Frustratingly Easy Domain Adaptation
Frustratingly Easy Domain Adaptation
Hal Daumé
94
1,796
0
10 Jul 2009
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