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Fei Sha
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Cited by
Year
Geodesic flow kernel for unsupervised domain adaptation
B Gong, Y Shi, F Sha, K Grauman
2012 IEEE conference on computer vision and pattern recognition, 2066-2073, 2012
22842012
Shallow parsing with conditional random fields
F Sha, F Pereira
Proceedings of the 2003 Human Language Technology Conference of the North …, 2003
19102003
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
8852012
Synthesized classifiers for zero-shot learning
S Changpinyo, WL Chao, B Gong, F Sha
Proceedings of the IEEE conference on computer vision and pattern …, 2016
7822016
Learning a kernel matrix for nonlinear dimensionality reduction
KQ Weinberger, F Sha, LK Saul
Proceedings of the twenty-first international conference on Machine learning …, 2004
6352004
Video summarization with long short-term memory
K Zhang, WL Chao, F Sha, K Grauman
European conference on computer vision, 766-782, 2016
5932016
DiscLDA: Discriminative learning for dimensionality reduction and classification
S Lacoste-Julien, F Sha, M Jordan
Advances in neural information processing systems 21, 2008
5192008
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
WL Chao, S Changpinyo, B Gong, F Sha
European conference on computer vision, 52-68, 2016
4882016
Learning globally-consistent local distance functions for shape-based image retrieval and classification
A Frome, Y Singer, F Sha, J Malik
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
4722007
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems 27, 2014
4342014
Actor-attention-critic for multi-agent reinforcement learning
S Iqbal, F Sha
International conference on machine learning, 2961-2970, 2019
4332019
Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
B Gong, K Grauman, F Sha
International conference on machine learning, 222-230, 2013
4252013
Learning with whom to share in multi-task feature learning
Z Kang, K Grauman, F Sha
ICML, 2011
3992011
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 2002
3672002
Few-shot learning via embedding adaptation with set-to-set functions
HJ Ye, H Hu, DC Zhan, F Sha
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3652020
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
3332006
Deformable spatial pyramid matching for fast dense correspondences
J Kim, C Liu, F Sha, K Grauman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
2792013
Non-linear metric learning
D Kedem, S Tyree, F Sha, G Lanckriet, KQ Weinberger
Advances in neural information processing systems 25, 2012
2502012
Large margin hidden Markov models for automatic speech recognition
F Sha, L Saul
Advances in neural information processing systems 19, 2006
2392006
Summary transfer: Exemplar-based subset selection for video summarization
K Zhang, WL Chao, F Sha, K Grauman
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2192016
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Articles 1–20