Kilian Weinberger
Kilian Weinberger
Associate Professor of Computer Science, Cornell University, ASAPP Research
Email verificata su cornell.edu - Home page
TitoloCitata daAnno
Densely connected convolutional networks
G Huang, Z Liu, L Van Der Maaten, KQ Weinberger
Proceedings of the IEEE conference on computer vision and pattern …, 2017
60502017
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, LK Saul
Journal of Machine Learning Research 10 (Feb), 207-244, 2009
26442009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, LK Saul
Advances in neural information processing systems, 1473-1480, 2006
18602006
Unsupervised Learning of Image Manifolds by Semidefinite Programming
KQ Weinberger, LK Saul
Computer Vision and Pattern Recognition (CVPR), 2004
10272004
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
8272015
Feature hashing for large scale multitask learning
KQ Weinberger, A Dasgupta, J Langford, A Smola, J Attenberg
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
6972009
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European conference on computer vision, 646-661, 2016
6722016
Compressing neural networks with the hashing trick
W Chen, J Wilson, S Tyree, K Weinberger, Y Chen
International Conference on Machine Learning, 2285-2294, 2015
6082015
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
5462012
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
5192004
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
3492017
Fast solvers and efficient implementations for distance metric learning
KQ Weinberger, LK Saul
Proceedings of the 25th international conference on Machine learning, 1160-1167, 2008
2992008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
Proceedings of the Association for the Advancement of Artificial …, 2006
2882006
Co-training for domain adaptation
M Chen, KQ Weinberger, J Blitzer
Advances in neural information processing systems, 2456-2464, 2011
2852011
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, JH Ham, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
2742006
Large margin multi-task metric learning
S Parameswaran, KQ Weinberger
Advances in neural information processing systems, 1867-1875, 2010
2602010
Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.
KQ Weinberger, B Packer, LK Saul
AISTATS 2 (5), 6, 2005
1892005
Snapshot ensembles: Train 1, get m for free
G Huang, Y Li, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger
arXiv preprint arXiv:1704.00109, 2017
1852017
Non-linear metric learning
D Kedem, S Tyree, F Sha, GR Lanckriet, KQ Weinberger
Advances in neural information processing systems, 2573-2581, 2012
1832012
Fast image tagging
M Chen, A Zheng, K Weinberger
International conference on machine learning, 1274-1282, 2013
1812013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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