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The performance of a classifier trained on data coming from a specific domain typically degrades when applied to a related but different one.
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Domain Adaptation for Statistical Classifiers
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A Fast Learning Algorithm for Deep Belief Nets
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Correcting Sample Selection Bias by Unlabeled Data
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SURF: Speeded Up Robust Features
H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool · 2008
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A Kernel Method for the Two-Sample Problem
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A Literature Survey on Domain Adaptation of Statistical Classifiers
J. Jiang · 2008
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Domain Transfer SVM for Video Concept Detection
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Covariate Shift by Kernel Mean Matching
A. Gretton, A. Smola, J. Huang, M. Schmittfull, K. Borgwardt, and B. Schölkopf · 2009
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Domain Adaptation via Transfer Component Analysis
S. Pan, I. Tsang, J. Kwok, and Q. Yang · 2009
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Exploiting Weakly-Labeled Web Images to Improve Object Classification: A Domain Adaptation Approach
A. Bergamo and L. Torresani · 2010
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A Survey on Transfer Learning
S. Pan and Q. Yang · 2010
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Adapting Visual Category Models to New Domains
K. Saenko, B. Kulis, M. Fritz, and T. Darrell · 2010
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Bregman Divergence-Based Regularization for Transfer Subspace Learning
S. Si, D. Tao, and B. Geng · 2010
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Domain Adaptation for Object Recognition: An Unsupervised Approach
R. Gopalan, R. Li, and R. Chellappa · 2011
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What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
B. Kulis, K. Saenko, and T. Darrell · 2011
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Geodesic Flow Kernel for Unsupervised Domain Adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
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ImageNet Classification with Deep Convolutional Neural Networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2014
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Domain Adaptive Neural Networks for Object Recognition
M. Ghifary, W. B. Kleijn, and M. Zhang · 2014
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Traffic Sign Recognition with Hinge Loss Trained Convolutional Neural Networks
J. Jin, K. Fu, and C. Zhang · 2014
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Learning with Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
W. Li, L. Duan, D. Xu, and I. W. Tsang · 2014
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Learning and Transferring Mid-Level Image Representations Using Convolutional Neural Networks
M. Oquab, L. Bottou, I. Laptev, and J. Sivic · 2014
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Deep Domain Confusion: Maximizing for Domain Invariance
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ADADELTA: an Adaptive Learning Rate Method
M. D. Zeiler · 2012
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Unsupervised Domain Adaptation by Domain Invariant Projection
M. Baktashmotlagh, M. Harandi, B. Lovell, and M. Salzmann · 2013
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Non-Linear Domain Adaptation with Boosting
C. Becker, M. Christoudias, and P. Fua · 2013
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DLID: Deep Learning for Domain Adaptation by Interpolating Between Domains
S. Chopra, S. Balakrishnan, and R. Gopalan · 2013
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Unsupervised Visual Domain Adaptation Using Subspace Alignment
B. Fernando, A. Habrard, M. Sebban, and T. Tuytelaars · 2013
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2013
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E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell · 2014
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Beyond the Shortest Path : Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow
R. Caseiro, J. Henriques, P. Martins, and J. Batista · 2015
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Joint Cross-Domain Classification and Subspace Learning for Unsupervised Adaptation
B. Fernando, T. Tommasi, and T. Tuytelaars · 2015
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Unsupervised Domain Adaptation by Backpropagation
Y. Ganin and V. Lempitsky · 2015
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Spatial Transformer Networks
M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu · 2015
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Learning Transferable Features with Deep Adaptation Networks
M. Long, Y. Cao, J. Wang, and M. I. Jordan · 2015
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On Rendering Synthetic Images for Training an Object Detector
A. Rozantsev, V. Lepetit, and P. Fua · 2015
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Simultaneous Deep Transfer Across Domains and Tasks
E. Tzeng, J. Hoffman, T. Darrell, and K. Saenko · 2015
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Domain Separation Networks
K. Bousmalis, G. Trigeorgis, N. Silberman, D. Krishnan, and D. Erhan · 2016
Closest in time.
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
M. Ghifary, W. B. Kleijn, M. Zhang, D. Balduzzi, and W. Li · 2016
Closest in time.