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An empirical analysis of dropout in piecewise linear networks

21 December 2013

Aaron Courville

Papers citing "An empirical analysis of dropout in piecewise linear networks"

47 / 47 papers shown

Title
Generalizability vs. Counterfactual Explainability Trade-Off Fabiano Veglianti Flavio Giorgi Fabrizio Silvestri Gabriele Tolomei 112 0 0 29 May 2025
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering Yexing Xu Longguang Wang Minglin Chen Sheng Ao Li Li Yulan Guo 141 5 0 13 Apr 2025
Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information Pascal François Genevieve Gauthier Frédéric Godin Carlos Octavio Pérez Mendoza 92 2 0 30 Jul 2024
Adaptive Stochastic Weight Averaging Caglar Demir Arnab Sharma Axel-Cyrille Ngonga Ngomo MoMe 117 3 0 27 Jun 2024
Beyond Trend Following: Deep Learning for Market Trend Prediction Fernando Berzal Alberto Garcia 117 0 0 10 Jun 2024
LoRA Dropout as a Sparsity Regularizer for Overfitting Control Yang Lin Xinyu Ma Xu Chu Yujie Jin Zhibang Yang Yasha Wang Hong-yan Mei 119 34 0 15 Apr 2024
Revisiting Active Learning in the Era of Vision Foundation Models S. Gupte Josiah Aklilu Jeffrey Nirschl Serena Yeung-Levy VLM 101 6 0 25 Jan 2024
Regularization Through Simultaneous Learning: A Case Study on Plant Classification Pedro Henrique Nascimento Castro Gabriel Cássia Fortuna Rafael Alves Bonfim de Queiroz Gladston J. P. Moreira Eduardo José da S. Luz 116 0 0 22 May 2023
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling Suman Adhya Avishek Lahiri Debarshi Kumar Sanyal 126 3 0 28 Mar 2023
Predicting Stock Price Movement as an Image Classification Problem Matej Steinbacher AIFin 69 4 0 02 Mar 2023
Few-shot Image Generation via Masked Discrimination Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 158 17 0 27 Oct 2022
Information Geometry of Dropout Training Masanari Kimura H. Hino 80 2 0 22 Jun 2022
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He Huangyuan Su Jieyu Zhang Xinwen Hou OOD OffRL 87 8 0 29 May 2022
Dropout Inference with Non-Uniform Weight Scaling Zhaoyuan Yang Arpit Jain 42 0 0 27 Apr 2022
Burn After Reading: Online Adaptation for Cross-domain Streaming Data Luyu Yang M. Gao Zeyuan Chen Ran Xu Abhinav Shrivastava Chetan Ramaiah 83 4 0 08 Dec 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 165 14 0 05 Apr 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 180 3 0 04 Jan 2021
Prediction intervals for Deep Neural Networks Tullio Mancini Hector F. Calvo-Pardo Jose Olmo UQCV OOD 111 5 0 08 Oct 2020
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks Gardave S. Bhumbra 62 0 0 28 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 300 82 0 17 Sep 2020
Dropout as a Regularizer of Interaction Effects Benjamin J. Lengerich Eric Xing R. Caruana 209 8 0 02 Jul 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 327 507 0 17 Feb 2020
DropClass and DropAdapt: Dropping classes for deep speaker representation learning Chau Luu P. Bell Steve Renals VLM 84 3 0 02 Feb 2020
Regularizing Neural Networks by Stochastically Training Layer Ensembles Alex Labach S. Valaee FedML 42 2 0 21 Nov 2019
Sequence-Aware Factorization Machines for Temporal Predictive Analytics Tong Chen Hongzhi Yin Quoc Viet Hung Nguyen Wen-Chih Peng Xue Li Xiaofang Zhou 107 69 0 07 Nov 2019
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization Ikuro Sato Kohta Ishikawa Guoqing Liu Masayuki Tanaka 87 7 0 04 Jun 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 109 154 0 25 Apr 2019
Shakeout: A New Approach to Regularized Deep Neural Network Training Guoliang Kang Jun Yu Li Dacheng Tao 85 61 0 13 Apr 2019
Deep Representation with ReLU Neural Networks Andreas Heinecke W. Hwang 156 0 0 29 Mar 2019
Random Projection in Deep Neural Networks P. Wójcik 87 5 0 22 Dec 2018
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction Saurav Jha A. Sudhakar Anil Kumar Singh 66 4 0 21 Nov 2018
h-detach: Modifying the LSTM Gradient Towards Better Optimization Devansh Arpit Bhargav Kanuparthi Giancarlo Kerg Nan Rosemary Ke Ioannis Mitliagkas Yoshua Bengio 137 32 0 06 Oct 2018
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 280 2,647 0 20 Aug 2018
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators Gonçalo Mordido Haojin Yang Christoph Meinel SyDa 136 49 0 30 Jul 2018
Neural Networks Regularization Through Representation Learning Soufiane Belharbi OOD SSL 47 2 0 13 Jul 2018
Como funciona o Deep Learning M. Ponti G. B. P. D. Costa 80 14 0 20 Jun 2018
Pushing the bounds of dropout Gábor Melis Charles Blundell Tomás Kociský Karl Moritz Hermann Chris Dyer Phil Blunsom 104 13 0 23 May 2018
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo Diego Vergara S. Hernández Matias Valdenegro-Toro Felipe Jorquera UQCV BDL 61 0 0 12 May 2018
Internal node bagging Shun Yi BDL 121 0 0 01 May 2018
Dropping Networks for Transfer Learning J. Ó. Neill Danushka Bollegala 68 1 0 23 Apr 2018
Building robust prediction models for defective sensor data using Artificial Neural Networks A. Shekar C. S.A. Hugo Ferreira Carlos Soares 56 3 0 16 Apr 2018
Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network Akm Ashiquzzaman A. Tushar Md. Rashedul Islam Jong-Myon Kim BDL 94 90 0 26 Jul 2017
Learning from the memory of Atari 2600 Jakub Sygnowski Henryk Michalewski 147 12 0 04 May 2016
Towards Dropout Training for Convolutional Neural Networks Haibing Wu Xiaodong Gu 119 309 0 01 Dec 2015
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks Eric T. Nalisnick Anima Anandkumar Padhraic Smyth 164 19 0 10 Jun 2015
Rectified Factor Networks Djork-Arné Clevert Andreas Mayr Thomas Unterthiner Sepp Hochreiter 115 17 0 23 Feb 2015
Learning with Pseudo-Ensembles Philip Bachman O. Alsharif Doina Precup 223 614 0 16 Dec 2014