Search results for "overfitting"

Hits ?▲	Authors	Title	Venue	Year	Link
17	Muhammad Bisri Musthafa, Samsul Huda, Ali Md. Arshad, Yuta Kodera, Yasuyuki Nogami	Evaluation of IDS model by improving accuracy and reducing overfitting using stacking LSTM.	ICCE	2024	DBLP DOI BibTeX RDF
17	Abhinav Prakash, Rui Tuo, Yu Ding 0002	The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling.	Technometrics	2023	DBLP DOI BibTeX RDF
17	Ohad Shamir	The Implicit Bias of Benign Overfitting.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
17	Alexander Tsigler, Peter L. Bartlett	Benign overfitting in ridge regression.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
17	Lin Li, Michael W. Spratling	Understanding and combating robust overfitting via input loss landscape analysis and regularization.	Pattern Recognit.	2023	DBLP DOI BibTeX RDF
17	Xiaoshuang Shi, Zhenhua Guo 0001, Kang Li, Yun Liang 0012, Xiaofeng Zhu 0001	Self-paced resistance learning against overfitting on noisy labels.	Pattern Recognit.	2023	DBLP DOI BibTeX RDF
17	Fatemeh Ahmadi Abkenari, Amin Milani Fard, Sara Khanchi	Hybrid Machine Learning-Based Approaches for Feature and Overfitting Reduction to Model Intrusion Patterns.	J. Cybersecur. Priv.	2023	DBLP DOI BibTeX RDF
17	Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban	ZeroGrad: Costless conscious remedies for catastrophic overfitting in the FGSM adversarial training.	Intell. Syst. Appl.	2023	DBLP DOI BibTeX RDF
17	Chen Cheng, Qingping Zhou	MCDIP-ADMM: Overcoming overfitting in DIP-based CT reconstruction.	Expert Syst. J. Knowl. Eng.	2023	DBLP DOI BibTeX RDF
17	Xinyue Zhao, Gan Gao, Zaixing He, Yongfeng Lv	Class specific nullspace marginal discriminant analysis with overfitting-prevention kernel estimation for hand trajectory recognitions.	Multim. Tools Appl.	2023	DBLP DOI BibTeX RDF
17	Hong Liu 0008, Zhun Zhong, Nicu Sebe, Shin'ichi Satoh 0001	Mitigating robust overfitting via self-residual-calibration regularization.	Artif. Intell.	2023	DBLP DOI BibTeX RDF
17	Chengcheng Ma, Yang Liu, Jiankang Deng, Lingxi Xie, Weiming Dong, Changsheng Xu	Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models.	IEEE Trans. Circuits Syst. Video Technol.	2023	DBLP DOI BibTeX RDF
17	Changlin Han, Zhiyong Peng, Yadong Liu, Jingsheng Tang, Yang Yu 0014, Zongtan Zhou	Overfitting-avoiding goal-guided exploration for hard-exploration multi-goal reinforcement learning.	Neurocomputing	2023	DBLP DOI BibTeX RDF
17	Zahraa Saddi Kadhim, Hasanen S. Abdullah, Khalil I. Ghathwan	Automatically Avoiding Overfitting in Deep Neural Networks by Using Hyper-Parameters Optimization Methods.	Int. J. Online Biomed. Eng.	2023	DBLP DOI BibTeX RDF
17	Ke Wang 0035, Vidya Muthukumar, Christos Thrampoulidis	Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
17	Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun	Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.	CoRR	2023	DBLP DOI BibTeX RDF
17	Guy Kornowski, Gilad Yehudai, Ohad Shamir	From Tempered to Benign Overfitting in ReLU Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
17	Shaopeng Fu, Di Wang 0015	Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach.	CoRR	2023	DBLP DOI BibTeX RDF
17	Hossein Rezaei, Mohammad Sabokrou	Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space.	CoRR	2023	DBLP DOI BibTeX RDF
17	Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu	Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data.	CoRR	2023	DBLP DOI BibTeX RDF
17	James B. Simon, Dhruva Karkada, Nikhil Ghosh, Mikhail Belkin	More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory.	CoRR	2023	DBLP DOI BibTeX RDF
17	Aakash Ravindra Shinde, Charu Jain, Amir Kalev	Soft-Dropout: A Practical Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
17	Mo Zhou, Rong Ge 0001	Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression.	CoRR	2023	DBLP DOI BibTeX RDF
17	Hamzeh Ghasemzadeh, Robert E. Hillman, Daryush D. Mehta	Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Sample Size Estimation and Reducing Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Hang Wang, David J. Miller 0001, George Kesidis	Post-Training Overfitting Mitigation in DNN Classifiers.	CoRR	2023	DBLP DOI BibTeX RDF
17	Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro	Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization.	CoRR	2023	DBLP DOI BibTeX RDF
17	Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu	Benign Overfitting for Two-layer ReLU Networks.	CoRR	2023	DBLP DOI BibTeX RDF
17	Nicolai Dorka, Tim Welschehold, Wolfram Burgard	Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Yitzchak Shmalo, Jonathan Jenkins, Oleksii Krupchytskyi	Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Lijia Zhou, James B. Simon, Gal Vardi, Nathan Srebro	An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression.	CoRR	2023	DBLP DOI BibTeX RDF
17	Chaojian Yu, Xiaolong Shi, Jun Yu, Bo Han 0003, Tongliang Liu	On the Onset of Robust Overfitting in Adversarial Training.	CoRR	2023	DBLP DOI BibTeX RDF
17	Feiyi Chen, Zhen Qing, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen	LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection.	CoRR	2023	DBLP DOI BibTeX RDF
17	James Schmidt	Testing for Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Teng Zhang, Kang Li	Understanding Overfitting in Adversarial Training via Kernel Regression.	CoRR	2023	DBLP DOI BibTeX RDF
17	Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass	SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction.	CoRR	2023	DBLP DOI BibTeX RDF
17	Xuran Meng, Difan Zou, Yuan Cao 0006	Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data.	CoRR	2023	DBLP DOI BibTeX RDF
17	Moritz Haas, David Holzmüller, Ulrike von Luxburg, Ingo Steinwart	Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension.	CoRR	2023	DBLP DOI BibTeX RDF
17	Yifei Wang 0001, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang 0001	Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective.	CoRR	2023	DBLP DOI BibTeX RDF
17	Grzegorz Gluch, Rüdiger L. Urbanke	Bayes Complexity of Learners vs Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Wele Gedara Chaminda Bandara, Celso M. de Melo, Vishal M. Patel 0001	Guarding Barlow Twins Against Overfitting with Mixed Samples.	CoRR	2023	DBLP DOI BibTeX RDF
17	Siqi Hui, Sanping Zhou, Ye Deng 0005, Jinjun Wang	Understanding the Overfitting of the Episodic Meta-training.	CoRR	2023	DBLP DOI BibTeX RDF
17	Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang	Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective.	CoRR	2023	DBLP DOI BibTeX RDF
17	Runzhi Tian, Yongyi Mao	On robust overfitting: adversarial training induced distribution matters.	CoRR	2023	DBLP DOI BibTeX RDF
17	Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar	Membership Inference Attacks against Synthetic Data through Overfitting Detection.	CoRR	2023	DBLP DOI BibTeX RDF
17	Binghui Li, Yuanzhi Li	Why Clean Generalization and Robust Overfitting Both Happen in Adversarial Training.	CoRR	2023	DBLP DOI BibTeX RDF
17	Zhenyu Zhu, Fanghui Liu 0001, Grigorios G. Chrysos, Francesco Locatello, Volkan Cevher	Benign Overfitting in Deep Neural Networks under Lazy Training.	CoRR	2023	DBLP DOI BibTeX RDF
17	Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine	Efficient Deep Reinforcement Learning Requires Regulating Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Nastaran Dabiran, Brandon Robinson, Rimple Sandhu, Mohammad Khalil, Dominique Poirel, Abhijit Sarkar	Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification.	CoRR	2023	DBLP DOI BibTeX RDF
17	Elena Agliari, Miriam Aquaro, Francesco Alemanno, Alberto Fachechi	Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Gen Li, Jie Ji, Minghai Qin, Wei Niu 0002, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma	Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Xuyang Zhong, Chen Liu	Towards Mitigating Architecture Overfitting in Dataset Distillation.	CoRR	2023	DBLP DOI BibTeX RDF
17	Runqi Lin, Chaojian Yu, Bo Han 0003, Tongliang Liu	On the Over-Memorization During Natural, Robust and Catastrophic Overfitting.	CoRR	2023	DBLP DOI BibTeX RDF
17	Evan Peters, Maria Schuld	Generalization despite overfitting in quantum machine learning models.	Quantum	2023	DBLP DOI BibTeX RDF
17	Fabrício Olivetti de França	Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization.	Genet. Program. Evolvable Mach.	2023	DBLP DOI BibTeX RDF
17	Jiha Kim, Hyunhee Park	Limited Discriminator GAN using explainable AI model for overfitting problem.	ICT Express	2023	DBLP DOI BibTeX RDF
17	Miguel Leão, Nuno Gonçalves 0001	Dealing with Overfitting in the Context of Liveness Detection Using FeatherNets with RGB Images.	ICPRAM	2023	DBLP DOI BibTeX RDF
17	Zehong Zeng, Yueyang Liu, Xiaoshi Lu, Yuanyuan Zhang, Xiaoling Lu	An Ensemble Framework Based on Fine Multi-Window Feature Engineering and Overfitting Prevention for Transportation Mode Recognition.	UbiComp/ISWC Adjunct	2023	DBLP DOI BibTeX RDF
17	Tong Wang, Zijiang Shan, Jie Guo, Wei Song	Enhance the Transferability from an Overfitting Perspective.	ChineseCSCW (2)	2023	DBLP DOI BibTeX RDF
17	Ruihang He, Yongze Xu	Overfitting Identification in Machine Learning Models with the Person-Fit Indicator.	ICCEIC	2023	DBLP DOI BibTeX RDF
17	Jinghui Chen, Yuan Cao 0006, Quanquan Gu	Benign Overfitting in Adversarially Robust Linear Classification.	UAI	2023	DBLP BibTeX RDF
17	Ruiying Yang, María Santamaría 0001, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Miska M. Hannuksela, Tapio Elomaa	Overfitting NN loop-filters in video coding.	VCIP	2023	DBLP DOI BibTeX RDF
17	Marco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass	SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction.	MIDL	2023	DBLP BibTeX RDF
17	Mengjie Han, Daomeng Cai, Zhilin Huo, Zhao Shen, Lianghu Tang, Shan Yang, Cong Wang	Reducing Overfitting Risk in Small-Sample Learning with ANN: A Case of Predicting Graduate Admission Probability.	IAIC (1)	2023	DBLP DOI BibTeX RDF
17	Yunzhe Tian, Yike Li, Kang Chen, Endong Tong, Wenjia Niu, Jiqiang Liu, Fangyun Qin, Zheng Zheng 0001	Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks.	ISSREW	2023	DBLP DOI BibTeX RDF
17	Tran Kim Toai, Vo Thi Xuan Hanh, Vo Minh Huan	Hybrid Random Forest and Long Short-Term Memory to Mitigate Overfitting Issue in Time Series Stock Data.	ICSSE	2023	DBLP DOI BibTeX RDF
17	Niklas Risse	Detecting Overfitting of Machine Learning Techniques for Automatic Vulnerability Detection.	ESEC/SIGSOFT FSE	2023	DBLP DOI BibTeX RDF
17	Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi	The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.	AAAI	2023	DBLP DOI BibTeX RDF
17	Songchi Zhou, Shijia Geng, Jun Li, Deyun Zhang, Ziqian Xie, Chuandong Cheng, Shenda Hong	Less is More: Reducing Overfitting in Deep Learning for EEG Classification.	CinC	2023	DBLP DOI BibTeX RDF
17	Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun	Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective.	EACL (Findings)	2023	DBLP DOI BibTeX RDF
17	Hongjian Song, Jie Tang 0002, Hongzhao Xiao, Juncheng Hu	Rethinking Overfitting of Multiple Instance Learning for Whole Slide Image Classification.	ICME	2023	DBLP DOI BibTeX RDF
17	Gen Li, Jie Ji, Minghai Qin, Wei Niu 0002, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma	Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.	CVPR	2023	DBLP DOI BibTeX RDF
17	Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang	Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective.	CVPR Workshops	2023	DBLP DOI BibTeX RDF
17	Yifei Wang 0001, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang 0001	Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective.	NeurIPS	2023	DBLP BibTeX RDF
17	Jingyuan Xu, Weiwei Liu	Characterization of Overfitting in Robust Multiclass Classification.	NeurIPS	2023	DBLP BibTeX RDF
17	Guy Kornowski, Gilad Yehudai, Ohad Shamir	From Tempered to Benign Overfitting in ReLU Neural Networks.	NeurIPS	2023	DBLP BibTeX RDF
17	Runqi Lin, Chaojian Yu, Tongliang Liu	Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization.	NeurIPS	2023	DBLP BibTeX RDF
17	Moritz Haas, David Holzmüller, Ulrike von Luxburg, Ingo Steinwart	Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension.	NeurIPS	2023	DBLP BibTeX RDF
17	Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro	Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization.	COLT	2023	DBLP BibTeX RDF
17	Avneet Kaur, Tanja Jancic-Turner, Quynh T. Nguyen, Satyam Vatts, Harsa Amylia Mat Sakim	Unsupervised Clustering to Reduce Overfitting Issues in Ensemble Deep Learning Models for Skin Lesion Classifications.	RoViSP	2023	DBLP DOI BibTeX RDF
17	Langning Huo, Henrik J. Persson, Jonas Bohlin, Eva Lindberg	Green Attack or Overfitting? Comparing Machine-Learning- and Vegetation-Index-Based Methods to Early Detect European Spruce Bark Beetle Attacks Using Multispectral Drone Images.	IGARSS	2023	DBLP DOI BibTeX RDF
17	Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon	Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds.	ICLR	2023	DBLP BibTeX RDF
17	Kaiyue Wen, Jiaye Teng, Jingzhao Zhang	Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models.	ICLR	2023	DBLP BibTeX RDF
17	Nicolai Dorka, Tim Welschehold, Wolfram Burgard	Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting.	ICLR	2023	DBLP BibTeX RDF
17	Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine	Efficient Deep Reinforcement Learning Requires Regulating Overfitting.	ICLR	2023	DBLP BibTeX RDF
17	Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu	Benign Overfitting in Two-layer ReLU Convolutional Neural Networks.	ICML	2023	DBLP BibTeX RDF
17	Zhenyu Zhu, Fanghui Liu 0001, Grigorios Chrysos 0002, Francesco Locatello, Volkan Cevher	Benign Overfitting in Deep Neural Networks under Lazy Training.	ICML	2023	DBLP BibTeX RDF
17	Mo Zhou, Rong Ge 0001	Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression.	ICML	2023	DBLP BibTeX RDF
17	Hee Min Choi, Hyoa Kang, Dokwan Oh	Is Overfitting Necessary for Implicit Video Representation?	ICML	2023	DBLP BibTeX RDF
17	Nageswara S. V. Rao	Study of Overfitting by Machine Learning Methods Using Generalization Equations.	FUSION	2023	DBLP DOI BibTeX RDF
17	Xingyu Xu 0001, Yuantao Gu	Benign overfitting of non-smooth neural networks beyond lazy training.	AISTATS	2023	DBLP BibTeX RDF
17	Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar	Membership Inference Attacks against Synthetic Data through Overfitting Detection.	AISTATS	2023	DBLP BibTeX RDF
17	Bin Zhu, Yanghui Rao	Exploring Robust Overfitting for Pre-trained Language Models.	ACL (Findings)	2023	DBLP DOI BibTeX RDF
17	Ömer Sahin, Ilyas Çiçekli, Gönenç Ercan	Learning term weights by overfitting pairwise ranking loss.	Turkish J. Electr. Eng. Comput. Sci.	2022	DBLP DOI BibTeX RDF
17	Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini	Diagnosing and Fixing Manifold Overfitting in Deep Generative Models.	Trans. Mach. Learn. Res.	2022	DBLP BibTeX RDF
17	Niladri S. Chatterji, Philip M. Long	Foolish Crowds Support Benign Overfitting.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
17	Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett	The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
17	Péter Martinek, Olivér Krammer	Analyzing the Overfitting of Boosted Decision Trees for the Modelling of Stencil Printing.	Period. Polytech. Electr. Eng. Comput. Sci.	2022	DBLP DOI BibTeX RDF
17	Ke Wang 0035, Christos Thrampoulidis	Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting, and Regularization.	SIAM J. Math. Data Sci.	2022	DBLP DOI BibTeX RDF
17	Yan Du, Wei Shao 0006, Zheng Chai, Hanzhang Zhao, Qihui Diao, Yawei Gao, Xihui Yuan, Qiaoqiao Wang, Tao Li, Weidong Zhang 0002, Jian Fu Zhang 0001, Tai Min	Synaptic 1/f noise injection for overfitting suppression in hardware neural networks.	Neuromorph. Comput. Eng.	2022	DBLP DOI BibTeX RDF
17	He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus	Automated Classification of Overfitting Patches With Statically Extracted Code Features.	IEEE Trans. Software Eng.	2022	DBLP DOI BibTeX RDF