Kilian Weinberger
Title
Cited by
Cited by
Year
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
157622017
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
35112009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, LK Saul
Advances in neural information processing systems, 1473-1480, 2006
22032006
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
15082015
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
International Conference on Machine Learning, 1321-1330, 2017
13532017
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European conference on computer vision, 646-661, 2016
11762016
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
11132006
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
CVPR 2, 988-995, 2004
11132004
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
9582015
Feature hashing for large scale multitask learning
K Weinberger, A Dasgupta, J Langford, A Smola, J Attenberg
Proceedings of the 26th annual international conference on machine learning …, 2009
8832009
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
7502012
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
5712004
Densely connected convolutional networks
H Gao, L Zhuang, LVD Maaten, KQ Weinberger
CVPR 1, 3, 2017
4872017
Simplifying graph convolutional networks
F Wu, A Souza, T Zhang, C Fifty, T Yu, K Weinberger
International conference on machine learning, 6861-6871, 2019
4522019
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
4242018
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
4132017
Co-Training for Domain Adaptation.
M Chen, KQ Weinberger, J Blitzer
Nips 24, 2456-2464, 2011
3842011
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
3522008
Bertscore: Evaluating text generation with bert
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
arXiv preprint arXiv:1904.09675, 2019
3352019
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
3192006
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Articles 1–20