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Kilian Weinberger
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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
272872017
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
41512009
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
International conference on machine learning, 1321-1330, 2017
27282017
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 2005
23302005
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
20472015
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European conference on computer vision, 646-661, 2016
17302016
Simplifying graph convolutional networks
F Wu, A Souza, T Zhang, C Fifty, T Yu, K Weinberger
International conference on machine learning, 6861-6871, 2019
12902019
Advances in neural information processing systems
A Krizhevsky, I Sutskever, GE Hinton, F Pereira, CJC Burges, L Bottou, ...
MIT Press 25, 1097-1105, 2012
12342012
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
11742015
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
11532006
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
CVPR 2, 988-995, 2004
11532004
Bertscore: Evaluating text generation with bert
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
arXiv preprint arXiv:1904.09675, 2019
11442019
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
10122009
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
8712012
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
6752017
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
6462018
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
6272004
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
5922019
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
Advances in neural information processing systems 30, 2017
5532017
Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration
J Gardner, G Pleiss, KQ Weinberger, D Bindel, AG Wilson
Advances in neural information processing systems 31, 2018
5122018
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