Articles with public access mandates - Kilian WeinbergerLearn more
Available somewhere: 70
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, National …
On calibration of modern neural networks
C Guo, G Pleiss, Y Sun, KQ Weinberger
International conference on machine learning, 1321-1330, 2017
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Simplifying graph convolutional networks
F Wu, A Souza, T Zhang, C Fifty, T Yu, K Weinberger
International conference on machine learning, 6861-6871, 2019
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
On fairness and calibration
G Pleiss, M Raghavan, F Wu, J Kleinberg, KQ Weinberger
Advances in neural information processing systems 30, 2017
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
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
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Understanding batch normalization
N Bjorck, CP Gomes, B Selman, KQ Weinberger
Advances in neural information processing systems 31, 2018
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke
JS Siegel, LE Ramsey, AZ Snyder, NV Metcalf, RV Chacko, K Weinberger, ...
Proceedings of the National Academy of Sciences 113 (30), E4367-E4376, 2016
Mandates: US National Institutes of Health, American Heart Association
Bayesian optimization with inequality constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML 2014, 937-945, 2014
Mandates: US National Institutes of Health
Convolutional networks with dense connectivity
G Huang, Z Liu, G Pleiss, L Van Der Maaten, KQ Weinberger
IEEE transactions on pattern analysis and machine intelligence 44 (12), 8704 …, 2019
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Adversarial deep averaging networks for cross-lingual sentiment classification
X Chen, Y Sun, B Athiwaratkun, C Cardie, K Weinberger
Transactions of the Association for Computational Linguistics 6, 557-570, 2018
Mandates: US Department of Defense
Resource aware person re-identification across multiple resolutions
Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Stochastic triplet embedding
L Van Der Maaten, K Weinberger
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
Mandates: US National Institutes of Health
Non-linear metric learning
D Kedem, S Tyree, F Sha, G Lanckriet, KQ Weinberger
Advances in neural information processing systems 25, 2012
Mandates: US National Institutes of Health
Exact Gaussian processes on a million data points
K Wang, G Pleiss, J Gardner, S Tyree, KQ Weinberger, AG Wilson
Advances in neural information processing systems 32, 2019
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Supervised word mover's distance
G Huang, C Guo, MJ Kusner, Y Sun, F Sha, KQ Weinberger
Advances in neural information processing systems 29, 2016
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation
End-to-end pseudo-lidar for image-based 3d object detection
R Qian, D Garg, Y Wang, Y You, S Belongie, B Hariharan, M Campbell, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Anytime stereo image depth estimation on mobile devices
Y Wang, Z Lai, G Huang, BH Wang, L Van Der Maaten, M Campbell, ...
2019 international conference on robotics and automation (ICRA), 5893-5900, 2019
Mandates: US National Science Foundation, Bill & Melinda Gates Foundation, US …
Learning with marginalized corrupted features
L Maaten, M Chen, S Tyree, K Weinberger
International Conference on Machine Learning, 410-418, 2013
Mandates: US National Institutes of Health
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