A Selective Overview of Deep Learning

10 April 2019

Papers citing "A Selective Overview of Deep Learning"

8 / 8 papers shown

Title
Deep learning with missing data Tianyi Ma Tengyao Wang R. Samworth 54 0 0 21 Apr 2025
Robust Deep Neural Network Estimation for Multi-dimensional Functional Data Shuoyang Wang Guanqun Cao 3DPC OOD 11 4 0 19 May 2022
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Y. Zou Linjun Zhang SSL 22 48 0 06 Oct 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 112 162 0 29 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016
Benefits of depth in neural networks Matus Telgarsky 121 600 0 14 Feb 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 551 0 27 Feb 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 237 7,597 0 03 Jul 2012