Bayesian Learning of Neural Network Architectures

Bayesian Learning of Neural Network Architectures

14 January 2019

Patrick van der Smagt

Papers citing "Bayesian Learning of Neural Network Architectures"

17 / 17 papers shown

Title
DREAM: Debugging and Repairing AutoML Pipelines Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen 16 1 0 31 Dec 2023
Deep Active Learning with Structured Neural Depth Search Xiaoyun Zhang Xieyi Ping Jianwei Zhang 32 0 0 05 Jun 2023
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 23 11 0 21 Sep 2022
Latent Time Neural Ordinary Differential Equations Srinivas Anumasa P. K. Srijith BDL 16 5 0 23 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 38 108 0 04 Aug 2020
Predictive Complexity Priors Eric T. Nalisnick Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV 26 19 0 18 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 38 100 0 15 Jun 2020
Bayesian Neural Networks Tom Charnock Laurence Perreault Levasseur F. Lanusse UQCV BDL 15 3 0 02 Jun 2020
Variational Depth Search in ResNets Javier Antorán J. Allingham José Miguel Hernández-Lobato 18 4 0 06 Feb 2020
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning Samuel Kessler Vu Nguyen S. Zohren Stephen J. Roberts BDL 8 23 0 04 Dec 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure Zhijie Deng Yucen Luo Jun Zhu Bo Zhang UQCV BDL 17 2 0 22 Nov 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Prasanna Balaprakash Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 14 53 0 01 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,419 0 02 Aug 2019
SSFN -- Self Size-estimating Feed-forward Network with Low Complexity, Limited Need for Human Intervention, and Consistent Behaviour across Trials S. Chatterjee Alireza M. Javid M. Sadeghi Shumpei Kikuta Dong Liu P. Mitra Mikael Skoglund 14 6 0 17 May 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou Minghao Yang Jun Wang Wei Pan BDL 11 196 0 13 May 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016