Dropout Training as Adaptive Regularization

4 July 2013

Papers citing "Dropout Training as Adaptive Regularization"

50 / 67 papers shown

Title
Analytic theory of dropout regularization Francesco Mori Francesca Mignacco 24 0 0 12 May 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 107 0 0 27 Mar 2025
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 62 0 0 18 Feb 2025
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking Ilqar Ramazanli Hamid Eghbalzadeh Xiaoyi Liu Yang Wang Jiaxiang Fu Kaushik Rangadurai Sem Park Bo Long Xue Feng 48 0 0 05 Feb 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 89 1 0 25 Nov 2024
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 23 30 0 09 Jul 2023
Generalized equivalences between subsampling and ridge regularization Pratik V. Patil Jin-Hong Du 24 5 0 29 May 2023
Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families Benedikt Lutke Schwienhorst Lucas Kock David J. Nott Nadja Klein 13 1 0 11 May 2023
Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming Clemencia Siro T. Ajayi 10 2 0 06 Apr 2023
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 26 63 0 30 Nov 2022
Domain Adaptation under Missingness Shift Helen Zhou Sivaraman Balakrishnan Zachary Chase Lipton 25 8 0 03 Nov 2022
Noise Injection as a Probe of Deep Learning Dynamics Noam Levi I. Bloch M. Freytsis T. Volansky 37 2 0 24 Oct 2022
Over-the-Air Split Machine Learning in Wireless MIMO Networks YuZhi Yang Zhaoyang Zhang Yuqing Tian Zhaohui Yang Chongwen Huang C. Zhong Kai‐Kit Wong 21 23 0 07 Oct 2022
Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations Jialing Liao Zheng Chen Erik G. Larsson 17 12 0 05 Oct 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 32 6 0 20 Sep 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 18 32 0 21 Aug 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Y. Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning Soufiane Hayou Bo He Gintare Karolina Dziugaite 20 2 0 22 Oct 2021
Explicit Regularisation in Gaussian Noise Injections A. Camuto M. Willetts Umut Simsekli Stephen J. Roberts Chris Holmes 17 55 0 14 Jul 2020
Xiaomingbot: A Multilingual Robot News Reporter Runxin Xu Jun Cao Mingxuan Wang Jiaze Chen Hao Zhou ... Xiang Yin Xijin Zhang Songcheng Jiang Yuxuan Wang Lei Li 11 11 0 12 Jul 2020
Dropout: Explicit Forms and Capacity Control R. Arora Peter L. Bartlett Poorya Mianjy Nathan Srebro 58 37 0 06 Mar 2020
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks Xiao Zhang Dongrui Wu 8 38 0 04 Jan 2020
Continuous Dropout Xu Shen Xinmei Tian Tongliang Liu Fang Xu Dacheng Tao 17 64 0 28 Nov 2019
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks Deyin Liu Lin Wu Xue Li 32 17 0 14 Nov 2019
Post-synaptic potential regularization has potential Enzo Tartaglione Daniele Perlo Marco Grangetto BDL AAML 11 6 0 19 Jul 2019
Dimensionality compression and expansion in Deep Neural Networks Stefano Recanatesi M. Farrell Madhu S. Advani Timothy Moore Guillaume Lajoie E. Shea-Brown 13 72 0 02 Jun 2019
Orthogonal Deep Neural Networks K. Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 28 131 0 15 May 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 15 149 0 25 Apr 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers K. Jia Jiehong Lin Mingkui Tan Dacheng Tao 3DV 19 32 0 25 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 25 136 0 10 Apr 2019
Effective and Efficient Dropout for Deep Convolutional Neural Networks Shaofeng Cai Jinyang Gao Gang Chen Beng Chin Ooi Wei Wang Meihui Zhang BDL 13 53 0 06 Apr 2019
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model Wenhui Cui Yanling Liu Yuxing Li Meng-Hao Guo Yiming Li Xiuli Li Tianle Wang Xiangzhu Zeng Chuyang Ye 18 174 0 04 Mar 2019
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks Hojjat Salehinejad S. Valaee 16 30 0 07 Feb 2019
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks Mouloud Belbahri Eyyub Sari Sajad Darabi V. Nia MQ 21 1 0 18 Jan 2019
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications Deren Lei Zichen Sun Yijun Xiao William Yang Wang 33 14 0 01 Nov 2018
Applying Deep Learning To Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tao Xu Shulin Yang ... Qing Zhang Nick Barrow-Williams B. Turnbull Brendan M. Collins Thomas Legrand DML 13 83 0 22 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis M. A. Nabian Hadi Meidani PINN AI4CE 19 57 0 11 Oct 2018
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models Yinan Li Xiao Liu Fang Liu 29 7 0 11 Oct 2018
Extracting representations of cognition across neuroimaging studies improves brain decoding A. Mensch Julien Mairal B. Thirion Gaël Varoquaux AI4CE 19 15 0 17 Sep 2018
Towards Understanding Regularization in Batch Normalization Ping Luo Xinjiang Wang Wenqi Shao Zhanglin Peng MLT AI4CE 10 179 0 04 Sep 2018
On the Implicit Bias of Dropout Poorya Mianjy R. Arora René Vidal 19 66 0 26 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks Andrea Zunino Sarah Adel Bargal Pietro Morerio Jianming Zhang Stan Sclaroff Vittorio Murino 21 23 0 23 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 21 26 0 21 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng Rajesh Ranganath Jaan Altosaar David M. Blei 17 22 0 03 May 2018
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 30 87 0 24 Mar 2018
The Hybrid Bootstrap: A Drop-in Replacement for Dropout R. Kosar D. W. Scott BDL 19 1 0 22 Jan 2018
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing Savas Ozkan Berk Kaya G. Akar 18 190 0 06 Aug 2017
Missing Data Imputation for Supervised Learning Jason Poulos Rafael Valle 10 62 0 28 Oct 2016
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation Sebastian Ewert Mark Sandler 11 23 0 15 Sep 2016