Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

10 January 2022

Papers citing "Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks"

43 / 43 papers shown

Title
Malware Detection at the Edge with Lightweight LLMs: A Performance Evaluation Christian Rondanini B. Carminati E. Ferrari Antonio Gaudiano Ashish Kundu 51 0 0 06 Mar 2025
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks Carlos Arizmendi Jorge Pinto Alejandro Arboleda Hernando Gonzalez 48 0 0 03 Mar 2025
Identifying Bias in Deep Neural Networks Using Image Transforms Sai Teja Erukude Akhil Joshi Lior Shamir 70 1 0 17 Dec 2024
On the Regularization of Learnable Embeddings for Time Series Forecasting L. Butera G. Felice Andrea Cini Cesare Alippi AI4TS 29 0 0 18 Oct 2024
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling Gang Dang Dianhui Wang 22 0 0 14 Oct 2024
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number Rossen Nenov Daniel Haider Péter Balázs 16 1 0 30 Sep 2024
Towards stable training of parallel continual learning Li Yuepan Fan Lyu Yuyang Li Wei Feng Guangcan Liu Fanhua Shang 45 0 0 11 Jul 2024
Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs Lukas Fuchs O. Furat D. Finegan J. Allen F. Usseglio-Viretta Bertan Ozdogru Peter J. Weddle Kandler Smith Volker Schmidt 39 2 0 07 Jul 2024
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems Victor Matray Faisal Amlani Frédéric Feyel David Néron AI4CE 34 5 0 03 Jun 2024
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization Fabio A. Faria Mateus M. Souza R. F. D. S. Teixeira Maurício Pamplona Segundo 50 0 0 30 May 2024
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection Tahira Shehzadi K. Hashmi Didier Stricker Muhammad Zeshan Afzal 41 12 0 02 Apr 2024
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models M. Lashkari Amin Gheibi 35 0 0 13 Mar 2024
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning Shuyu Yin Qixuan Zhou Fei Wen Tao Luo 30 0 0 24 Feb 2024
Adaptive Hypergraph Network for Trust Prediction Rongwei Xu Guanfeng Liu Yan Wang Xuyun Zhang Kai Zheng Xiaofang Zhou 19 0 0 07 Feb 2024
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks Juyoung Yun 16 1 0 26 Dec 2023
LayerCollapse: Adaptive compression of neural networks Soheil Zibakhsh Shabgahi Mohammad Soheil Shariff F. Koushanfar AI4CE 18 1 0 29 Nov 2023
Certified Control for Train Sign Classification Jan Roßbach Michael Leuschel 11 1 0 16 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data Lukas Fuchs Tom Kirstein Christoph Mahr O. Furat Valentin Baric Andreas Rosenauer Lutz Mädler Volker Schmidt 3DV 37 3 0 27 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection Lin Yang Jun-Cheng Chen Shutao Gao Zhihao Gong Hongyu Zhang Yue Kang Huaan Li 16 3 0 24 Aug 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-man Cheung VLM MedIm 44 21 0 26 Jul 2023
Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG Classification Zhengqing Miao Mei-rong Zhao 21 4 0 09 Jun 2023
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition H. Haresamudram Irfan Essa Thomas Ploetz 29 7 0 01 Jun 2023
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing Matheus Henrique Marques da Silva Jhessica Victoria Santos da Silva Rodrigo Reis Arrais Wladimir Barroso Guedes de Araújo Neto Leonardo Tadeu Lopes ... Lucas B. Rondon Bruno Melo de Souza Mayara Costa Regazio Rodolfo Coelho Dalapicola C. F. G. Santos SupR VLM 19 3 0 19 May 2023
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples T. Gao Chengzhong Xu Le Zhang Hui Kong 32 4 0 13 May 2023
Re-thinking Model Inversion Attacks Against Deep Neural Networks Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 27 38 0 04 Apr 2023
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens Ayoub Arous Amira Guesmi Muhammad Abdullah Hanif Ihsen Alouani Muhammad Shafique 11 1 0 03 Mar 2023
Membership Inference Attack for Beluga Whales Discrimination Voncarlos Marcelo Araújo Sébastien Gambs Clément Chion Robert Michaud L. Schneider H. Lautraite 25 2 0 28 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 63 5 0 03 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 21 28 0 21 Dec 2022
Distributional Robustness Bounds Generalization Errors Shixiong Wang Haowei Wang OOD 29 4 0 20 Dec 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations Linlin Liu Xingxuan Li Megh Thakkar Xin Li Shafiq R. Joty Luo Si Lidong Bing 27 2 0 16 Nov 2022
A Formal Assisted Approach for Modeling and Testing Security Attacks in IoT Edge Devices A. Bhanpurawala K. El-Fakih I. Zualkernan AAML 13 3 0 11 Oct 2022
Generalization in Neural Networks: A Broad Survey Chris Rohlfs OOD AI4CE 11 6 0 04 Sep 2022
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions Xuan Cheng Tianshu Xie Xiaomin Wang Qifeng Weng Minghui Liu Jiali Deng Meilin Liu 29 0 0 29 Mar 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 73 56 0 05 Jan 2021
TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks Hui Zhu Xiaofang Zhao 27 7 0 21 Oct 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 313 498 0 05 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016