Whiteout: Gaussian Adaptive Noise Regularization in Deep Neural Networks

5 December 2016

Papers citing "Whiteout: Gaussian Adaptive Noise Regularization in Deep Neural Networks"

7 / 7 papers shown

Title
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators Malte J. Rasch C. Mackin Manuel Le Gallo An Chen A. Fasoli ... P. Narayanan H. Tsai G. Burr Abu Sebastian Vijay Narayanan 18 86 0 16 Feb 2023
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data Can Chen Scott T. Weiss Yang-Yu Liu 34 17 0 25 Nov 2022
Noise Injection as a Probe of Deep Learning Dynamics Noam Levi I. Bloch M. Freytsis T. Volansky 42 2 0 24 Oct 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 37 9 0 05 Apr 2022
DeepMimic: Mentor-Student Unlabeled Data Based Training Itay Mosafi E. David N. Netanyahu 32 6 0 24 Nov 2019
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models Yinan Li Xiao Liu Fang Liu 29 7 0 11 Oct 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012