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
205462017
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
38382009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 2005
22752005
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
International Conference on Machine Learning, 1321-1330, 2017
19742017
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
17682015
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European conference on computer vision, 646-661, 2016
14192016
Advances in neural information processing systems
A Krizhevsky, I Sutskever, GE Hinton, F Pereira, CJC Burges, L Bottou, ...
13252012
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
11482006
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
CVPR 2, 988-995, 2004
11482004
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
10532015
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
9522009
Simplifying graph convolutional networks
F Wu, A Souza, T Zhang, C Fifty, T Yu, K Weinberger
International conference on machine learning, 6861-6871, 2019
8092019
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
8072012
Bertscore: Evaluating text generation with bert
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
arXiv preprint arXiv:1904.09675, 2019
6702019
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
6002004
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
5262017
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
5222018
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
arXiv preprint arXiv:1709.02012, 2017
4182017
Co-Training for Domain Adaptation.
M Chen, KQ Weinberger, J Blitzer
Nips 24, 2456-2464, 2011
4132011
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Y Wang, WL Chao, D Garg, B Hariharan, M Campbell, KQ Weinberger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3992019
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Articles 1–20