Dropout as data augmentation

29 June 2015

Pascal Vincent

Papers citing "Dropout as data augmentation"

50 / 54 papers shown

Title
Weights Augmentation: it has never ever ever ever let her model down Junbin Zhuang Guiguang Din Yunyi Yan 35 1 0 30 May 2024
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification June-Woo Kim Miika Toikkanen Sangmin Bae Minseok Kim Ho-Young Jung 38 5 0 05 May 2024
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos Sharana Dharshikgan Suresh Dass H. Barua Ganesh Krishnasamy Raveendran Paramesran Raphael C.-W. Phan ViT 43 2 0 09 Apr 2024
A survey of synthetic data augmentation methods in computer vision A. Mumuni F. Mumuni N. K. Gerrar 42 19 0 15 Mar 2024
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 24 6 0 12 Nov 2023
ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging Fangyuan Wang Ming Hao Yuhai Shi Bo Xu MoMe 21 0 0 05 Aug 2023
Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 23 15 0 24 Jul 2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States Kang Liu Ke Chen Lihua Guo Yaowei Wang Kui Jia 40 0 0 30 May 2023
SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives Jiahao Xu Wei Shao Lihu Chen Lemao Liu 35 17 0 22 May 2023
CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition Youzhe Song Feng Wang CVBM 32 10 0 23 Apr 2023
Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks C. R. Wewer Alexandros Iosifidis 19 2 0 27 Mar 2023
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning Rickard Brüel-Gabrielsson Tongzhou Wang Manel Baradad Justin Solomon ViT 8 0 0 25 Mar 2023
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective Chi-Heng Lin Chiraag Kaushik Eva L. Dyer Vidya Muthukumar 26 27 0 10 Oct 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 35 6 0 20 Sep 2022
SkIn: Skimming-Intensive Long-Text Classification Using BERT for Medical Corpus Yufeng Zhao Haiying Che VLM 20 0 0 13 Sep 2022
Tackling covariate shift with node-based Bayesian neural networks Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski BDL UQCV 16 6 0 06 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML OOD 27 1 0 02 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yong Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments Randall Balestriero Ishan Misra Yann LeCun 35 20 0 16 Feb 2022
Reflash Dropout in Image Super-Resolution Xiangtao Kong Xina Liu Jinjin Gu Yu Qiao Chao Dong UQCV 21 58 0 22 Dec 2021
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders Fangyu Liu Ivan Vulić Anna Korhonen Nigel Collier VLM OffRL 27 117 0 16 Apr 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 35 56 0 19 Feb 2021
Data augmentation and image understanding Alex Hernandez-Garcia 18 6 0 28 Dec 2020
Categorical Perception: A Groundwork for Deep Learning L. Bonnasse-Gahot Jean-Pierre Nadal 27 7 0 10 Dec 2020
Optimizing Transformer for Low-Resource Neural Machine Translation Ali Araabi Christof Monz VLM 41 78 0 04 Nov 2020
Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation Wei Wang Yimeng Chai Tao Cui Chuang Wang Baohua Zhang Yuemei Li Yi An GAN 16 0 0 26 Oct 2020
Generating Diverse Translation from Model Distribution with Dropout Xuanfu Wu Yang Feng Chenze Shao 22 13 0 16 Oct 2020
Interpreting and Boosting Dropout from a Game-Theoretic View Hao Zhang Sen Li Yinchao Ma Mingjie Li Yichen Xie Quanshi Zhang FAtt AI4CE 15 46 0 24 Sep 2020
Regularizing Neural Networks via Stochastic Branch Layers Wonpyo Park Paul Hongsuck Seo Bohyung Han Minsu Cho 14 0 0 03 Oct 2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks Chunxu Zhang Jiaxu Cui Bo Yang 23 3 0 06 May 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs Saeed Masoudnia Omid Mersa Babak N. Araabi A. Vahabie M. Sadeghi M. N. Ahmadabadi 16 46 0 11 Mar 2019
Only sparsity based loss function for learning representations Vivek Bakaraju K. Konda 17 0 0 07 Mar 2019
Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows Zhongliang Yang Hao Yang Yuting Hu Yongfeng Huang Yujin Zhang 26 17 0 04 Feb 2019
Stochastic Model Pruning via Weight Dropping Away and Back Haipeng Jia Xueshuang Xiang Da Fan Meiyu Huang Changhao Sun Yang He 13 2 0 05 Dec 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 23 83 0 22 Oct 2018
Style Augmentation: Data Augmentation via Style Randomization Philip T. G. Jackson Amir Atapour-Abarghouei Stephen Bonner T. Breckon B. Obara OOD 18 175 0 14 Sep 2018
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks Siyue Wang Tianlin Li Pu Zhao Wujie Wen David Kaeli S. Chin X. Lin AAML 21 70 0 13 Sep 2018
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data Sergul Aydore B. Thirion Gaël Varoquaux OOD 22 4 0 31 Jul 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018
Internal node bagging Shun Yi BDL 13 0 0 01 May 2018
Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network Zhongliang Yang Yongfeng Huang Yiran Jiang YuXi Sun Yujin Zhang Pengcheng Luo 29 86 0 23 Apr 2018
DropMax: Adaptive Variational Softmax Haebeom Lee Juho Lee Saehoon Kim Eunho Yang Sung Ju Hwang 13 13 0 21 Dec 2017
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 35 335 0 29 Oct 2017
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks T. T. Um Franz MJ Pfister Daniel C. Pichler Satoshi Endo Muriel Lang Sandra Hirche U. Fietzek Dana Kulić 35 671 0 02 Jun 2017
Smart Augmentation - Learning an Optimal Data Augmentation Strategy Joseph Lemley S. Bazrafkan Peter Corcoran 23 373 0 24 Mar 2017
Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs A. A. Novikov Dimitrios Lenis David Major J. Hladůvka M. Wimmer Katja Bühler SSeg 27 218 0 30 Jan 2017
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition César Roberto de Souza Adrien Gaidon E. Vig A. Peña 27 44 0 25 Aug 2016
Drawing and Recognizing Chinese Characters with Recurrent Neural Network Xu-Yao Zhang Fei Yin Yanming Zhang Cheng-Lin Liu Yoshua Bengio 50 320 0 21 Jun 2016