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Fei Sha
Fei Sha
Google Research
Verified email at feisha.org - Homepage
Title
Cited by
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
26922012
Shallow parsing with conditional random fields
F Sha, F Pereira
Proceedings of the 2003 human language technology conference of the North …, 2003
19592003
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
9952012
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
8912016
Video summarization with long short-term memory
K Zhang, WL Chao, F Sha, K Grauman
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
7582016
Actor-attention-critic for multi-agent reinforcement learning
S Iqbal, F Sha
International conference on machine learning, 2961-2970, 2019
7352019
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
6742004
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
6682020
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
WL Chao, S Changpinyo, B Gong, F Sha
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
6082016
DiscLDA: Discriminative learning for dimensionality reduction and classification
S Lacoste-Julien, F Sha, M Jordan
Advances in neural information processing systems 21, 2008
5342008
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems 27, 2014
5062014
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
4812007
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
4642013
Learning with whom to share in multi-task feature learning
Z Kang, K Grauman, F Sha
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
4462011
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 2002
3882002
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
3552006
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
2902013
Non-linear metric learning
D Kedem, S Tyree, F Sha, G Lanckriet, KQ Weinberger
Advances in neural information processing systems 25, 2012
2712012
Information-theoretical learning of discriminative clusters for unsupervised domain adaptation
Y Shi, F Sha
arXiv preprint arXiv:1206.6438, 2012
2662012
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
2502016
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Articles 1–20