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Kilian Weinberger
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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
450662017
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
International conference on machine learning, 1321-1330, 2017
55512017
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
48192009
Bertscore: Evaluating text generation with bert
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
arXiv preprint arXiv:1904.09675, 2019
39442019
Simplifying graph convolutional networks
F Wu, A Souza, T Zhang, C Fifty, T Yu, K Weinberger
International conference on machine learning, 6861-6871, 2019
30722019
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
27362015
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
25982016
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 2005
25022005
Advances in neural information processing systems
A Krizhevsky
(No Title), 1097, 2012
21652012
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
14052015
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
12252006
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
CVPR 2, 988-995, 2004
12252004
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
12022009
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
11162018
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
10902019
Marginalized denoising auto-encoders for nonlinear representations
M Chen, K Weinberger, F Sha, Y Bengio
International conference on machine learning, 1476-1484, 2014
10632014
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
10342017
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
Advances in neural information processing systems 30, 2017
9542017
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
9442018
Multi-scale dense networks for resource efficient image classification
G Huang, D Chen, T Li, F Wu, L Van Der Maaten, KQ Weinberger
arXiv preprint arXiv:1703.09844, 2017
7792017
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