Kilian Weinberger
Kilian Weinberger
Associate Professor of Computer Science, Cornell University, ASAPP Research
Dirección de correo verificada de cornell.edu - Página principal
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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
105192017
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of Machine Learning Research 10 (2), 2009
30482009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, LK Saul
Advances in neural information processing systems, 1473-1480, 2006
20232006
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
11442015
Unsupervised Learning of Image Manifolds by Semidefinite Programming
KQ Weinberger, LK Saul
Computer Vision and Pattern Recognition (CVPR), 2004
10542004
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European conference on computer vision, 646-661, 2016
9032016
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
7932015
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
7892009
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
arXiv preprint arXiv:1706.04599, 2017
7682017
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
6602012
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
5352004
Co-training for domain adaptation
M Chen, KQ Weinberger, J Blitzer
Advances in neural information processing systems, 2456-2464, 2011
3322011
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
3232008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
Proceedings of the Association for the Advancement of Artificial …, 2006
3072006
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
2952006
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
2892017
Condensenet: An efficient densenet using learned group convolutions
G Huang, S Liu, L Van der Maaten, KQ Weinberger
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2872018
Large margin multi-task metric learning
S Parameswaran, KQ Weinberger
Advances in neural information processing systems, 1867-1875, 2010
2842010
Fast image tagging
M Chen, A Zheng, K Weinberger
International conference on machine learning, 1274-1282, 2013
2132013
Non-linear metric learning
D Kedem, S Tyree, F Sha, GR Lanckriet, KQ Weinberger
Advances in neural information processing systems, 2573-2581, 2012
2032012
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