Follow
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
261352017
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
41002009
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
International conference on machine learning, 1321-1330, 2017
25702017
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 2005
23142005
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International conference on machine learning, 957-966, 2015
19942015
Deep networks with stochastic depth
G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger
European conference on computer vision, 646-661, 2016
16652016
Advances in neural information processing systems
A Krizhevsky, I Sutskever, GE Hinton, F Pereira, CJC Burges, L Bottou, ...
MIT Press 25, 1097-1105, 2012
12082012
Simplifying graph convolutional networks
F Wu, A Souza, T Zhang, C Fifty, T Yu, K Weinberger
International conference on machine learning, 6861-6871, 2019
11962019
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
11492006
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
CVPR 2, 988-995, 2004
11492004
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
11472015
Bertscore: Evaluating text generation with bert
T Zhang, V Kishore, F Wu, KQ Weinberger, Y Artzi
arXiv preprint arXiv:1904.09675, 2019
10552019
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
9982009
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
8632012
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
6442017
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
6232004
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
6212018
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
5512019
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
Advances in neural information processing systems 30, 2017
5272017
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
4832018
The system can't perform the operation now. Try again later.
Articles 1–20