Kilian Weinberger
Kilian Weinberger
Associate Professor of Computer Science, Cornell University, ASAPP Research
Verified email at cornell.edu - Homepage
TitleCited byYear
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
75602017
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, LK Saul
Journal of Machine Learning Research 10 (Feb), 207-244, 2009
27892009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, LK Saul
Advances in neural information processing systems, 1473-1480, 2006
19182006
Unsupervised Learning of Image Manifolds by Semidefinite Programming
KQ Weinberger, LK Saul
Computer Vision and Pattern Recognition (CVPR), 2004
10292004
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
9182015
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European conference on computer vision, 646-661, 2016
7412016
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
7302009
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
6702015
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
5802012
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
5242004
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
4412017
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
3072008
Co-training for domain adaptation
M Chen, KQ Weinberger, J Blitzer
Advances in neural information processing systems, 2456-2464, 2011
2992011
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
Proceedings of the Association for the Advancement of Artificial …, 2006
2932006
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, JH Ham, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
2852006
Large margin multi-task metric learning
S Parameswaran, KQ Weinberger
Advances in neural information processing systems, 1867-1875, 2010
2742010
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
2122017
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
2032018
Fast image tagging
M Chen, A Zheng, K Weinberger
International conference on machine learning, 1274-1282, 2013
1942013
Non-linear metric learning
D Kedem, S Tyree, F Sha, GR Lanckriet, KQ Weinberger
Advances in neural information processing systems, 2573-2581, 2012
1912012
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Articles 1–20