Search results for "overfitting"

Hits ?▲	Authors	Title	Venue	Year	Link
17	Zhu Li, Zhi-Hua Zhou, Arthur Gretton	Towards an Understanding of Benign Overfitting in Neural Networks.	CoRR	2021	DBLP BibTeX RDF
17	Robert Wolfe, Aylin Caliskan	Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models.	CoRR	2021	DBLP BibTeX RDF
17	Dusan Varis, Ondrej Bojar	Sequence Length is a Domain: Length-based Overfitting in Transformer Models.	CoRR	2021	DBLP BibTeX RDF
17	Jinghui Chen, Yuan Cao 0006, Quanquan Gu	Benign Overfitting in Adversarially Robust Linear Classification.	CoRR	2021	DBLP BibTeX RDF
17	Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair 0003, Sergey Levine, Chelsea Finn, Dumitru Erhan	FitVid: Overfitting in Pixel-Level Video Prediction.	CoRR	2021	DBLP BibTeX RDF
17	Niladri S. Chatterji, Philip M. Long	Foolish Crowds Support Benign Overfitting.	CoRR	2021	DBLP BibTeX RDF
17	Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse	The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.	CoRR	2021	DBLP BibTeX RDF
17	Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade	Benign Overfitting of Constant-Stepsize SGD for Linear Regression.	CoRR	2021	DBLP BibTeX RDF
17	Peilin Kang, Seyed-Mohsen Moosavi-Dezfooli	Understanding Catastrophic Overfitting in Adversarial Training.	CoRR	2021	DBLP BibTeX RDF
17	Yuan-Long Peng, Wei-Po Lee	Data selection to avoid overfitting for foreign exchange intraday trading with machine learning.	Appl. Soft Comput.	2021	DBLP DOI BibTeX RDF
17	Hongying Zheng, Zhiqiang Zhou, Jianyong Chen	RLSTM: A New Framework of Stock Prediction by Using Random Noise for Overfitting Prevention.	Comput. Intell. Neurosci.	2021	DBLP DOI BibTeX RDF
17	Janez Demsar, Blaz Zupan	Hands-on training about overfitting.	PLoS Comput. Biol.	2021	DBLP DOI BibTeX RDF
17	Vasu Singla, Sahil Singla 0002, Soheil Feizi, David Jacobs 0001	Low Curvature Activations Reduce Overfitting in Adversarial Training.	ICCV	2021	DBLP DOI BibTeX RDF
17	Jiaming Liu, Ming Lu, Kaixin Chen 0001, Xiaoqi Li 0009, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen 0001, Chuang Zhang, Ming Wu 0001	Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation.	ICCV	2021	DBLP DOI BibTeX RDF
17	Yu Mikami, Chihiro Tsutake, Keita Takahashi 0001, Toshiaki Fujii	An Efficient Image Compression Method Based On Neural Network: An Overfitting Approach.	ICIP	2021	DBLP DOI BibTeX RDF
17	Le Xu, Lei Cheng 0003, Ngai Wong, Yik-Chung Wu	Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference.	ICDM	2021	DBLP DOI BibTeX RDF
17	Satoru Watanabe, Hayato Yamana	Overfitting Measurement of Deep Neural Networks Using No Data.	DSAA	2021	DBLP DOI BibTeX RDF
17	Qipei Li, Ming Yan 0005, Jie Xu	Optimizing Convolutional Neural Network Performance by Mitigating Underfitting and Overfitting.	ICIS	2021	DBLP DOI BibTeX RDF
17	Guilherme Perin, Ileana Buhan, Stjepan Picek	Learning When to Stop: A Mutual Information Approach to Prevent Overfitting in Profiled Side-Channel Analysis.	COSADE	2021	DBLP DOI BibTeX RDF
17	Boris Lorbeer, Max Botler	Anomaly detection with partitioning overfitting autoencoder ensembles.	ICMV	2021	DBLP DOI BibTeX RDF
17	Stéphane Chrétien, Emmanuel Caron	Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint.	ESANN	2021	DBLP DOI BibTeX RDF
17	Wenzhe Lu, Heng Qiao	On Overfitting in Discrete Super-Resolution Recovery.	ICASSP	2021	DBLP DOI BibTeX RDF
17	Ke Wang 0035, Christos Thrampoulidis	Benign Overfitting in Binary Classification of Gaussian Mixtures.	ICASSP	2021	DBLP DOI BibTeX RDF
17	Amirfarhad Nilizadeh, Gary T. Leavens, Xuan-Bach Dinh Le, Corina S. Pasareanu, David R. Cok	Exploring True Test Overfitting in Dynamic Automated Program Repair using Formal Methods.	ICST	2021	DBLP DOI BibTeX RDF
17	Jiha Kim, Hyunhee Park	OA-GAN: Overfitting Avoidance Method of GAN oversampling based on xAI.	ICUFN	2021	DBLP DOI BibTeX RDF
17	Xuansheng Wu, Feichi Yang, Tong Zhou, Xinyue Lin	Rethinking the Impacts of Overfitting and Feature Quality on Small-scale Video Classification.	ACM Multimedia	2021	DBLP DOI BibTeX RDF
17	Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang 0002	Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract).	AAAI	2021	DBLP DOI BibTeX RDF
17	Hoki Kim, Woojin Lee, Jaewook Lee 0001	Understanding Catastrophic Overfitting in Single-step Adversarial Training.	AAAI	2021	DBLP DOI BibTeX RDF
17	Dusan Varis, Ondrej Bojar	Sequence Length is a Domain: Length-based Overfitting in Transformer Models.	EMNLP (1)	2021	DBLP DOI BibTeX RDF
17	Robert Wolfe, Aylin Caliskan	Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models.	EMNLP (1)	2021	DBLP DOI BibTeX RDF
17	Frederic Koehler, Lijia Zhou, Danica J. Sutherland, Nathan Srebro	Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting.	NeurIPS	2021	DBLP BibTeX RDF
17	Ke Wang 0035, Vidya Muthukumar, Christos Thrampoulidis	Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation.	NeurIPS	2021	DBLP BibTeX RDF
17	Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham M. Kakade	Benign Overfitting of Constant-Stepsize SGD for Linear Regression.	COLT	2021	DBLP BibTeX RDF
17	Aritra Ray, Hena Ray	Study of Overfitting through Activation Functions as a Hyper-parameter for Image Clothing Classification using Neural Network.	ICCCNT	2021	DBLP DOI BibTeX RDF
17	Malte Schilling	Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness Through Decentralized Control.	ICANN (4)	2021	DBLP DOI BibTeX RDF
17	Tianlong Chen, Zhenyu Zhang 0015, Sijia Liu 0001, Shiyu Chang, Zhangyang Wang	Robust Overfitting may be mitigated by properly learned smoothening.	ICLR	2021	DBLP BibTeX RDF
17	Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr	How Benign is Benign Overfitting ?	ICLR	2021	DBLP BibTeX RDF
17	Ties van Rozendaal, Iris A. M. Huijben, Taco Cohen	Overfitting for Fun and Profit: Instance-Adaptive Data Compression.	ICLR	2021	DBLP BibTeX RDF
17	Jing Luo 0006, Yaojie Wang, Rong Xu, Guangming Liu, Xiaofan Wang 0002, Yijing Gong	Channel Drop Out: A Simple Way to Prevent CNN from Overfitting in Motor Imagery Based BCI.	ICPCSEE (1)	2021	DBLP DOI BibTeX RDF
17	Daniel Rivero 0001, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos	Population subset selection for the use of a validation dataset for overfitting control in genetic programming.	J. Exp. Theor. Artif. Intell.	2020	DBLP DOI BibTeX RDF
17	Malte Probst, Franz Rothlauf	Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms.	J. Mach. Learn. Res.	2020	DBLP BibTeX RDF
17	Zsuzsanna Szabó, Tomás Mikita, Gábor Négyesi, Orsolya Gyöngyi Varga, Péter Burai, László Takács-Szilágyi, Szilárd Szabó	Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches.	Remote. Sens.	2020	DBLP DOI BibTeX RDF
17	Ledan Qian, Libing Hu, Li Zhao 0005, Tao Wang 0052, Runhua Jiang	Sequence-Dropout Block for Reducing Overfitting Problem in Image Classification.	IEEE Access	2020	DBLP DOI BibTeX RDF
17	Sean D. McCabe, Dan-Yu Lin, Michael I. Love	Consistency and overfitting of multi-omics methods on experimental data.	Briefings Bioinform.	2020	DBLP DOI BibTeX RDF
17	Illia Horenko	On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning.	Neural Comput.	2020	DBLP DOI BibTeX RDF
17	Zheng Yang, Fan Gao, Songnian Fu, Ming Tang 0005, Deming Liu	Overfitting effect of artificial neural network based nonlinear equalizer: from mathematical origin to transmission evolution.	Sci. China Inf. Sci.	2020	DBLP DOI BibTeX RDF
17	Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin	Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control.	CoRR	2020	DBLP BibTeX RDF
17	Boris Lorbeer, Max Botler	Anomaly Detection With Partitioning Overfitting Autoencoder Ensembles.	CoRR	2020	DBLP BibTeX RDF
17	Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber	Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries.	CoRR	2020	DBLP BibTeX RDF
17	David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna	Overfitting and Optimization in Offline Policy Learning.	CoRR	2020	DBLP BibTeX RDF
17	Jason W. Rocks, Pankaj Mehta	Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models.	CoRR	2020	DBLP BibTeX RDF
17	Shirley Liu, Charles Lehman, Ghassan AlRegib	Robustness and Overfitting Behavior of Implicit Background Models.	CoRR	2020	DBLP BibTeX RDF
17	Zhaodong Sun	Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting.	CoRR	2020	DBLP BibTeX RDF
17	Stéphane d'Ascoli, Levent Sagun, Giulio Biroli	Triple descent and the two kinds of overfitting: Where & why do they appear?	CoRR	2020	DBLP BibTeX RDF
17	Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip H. S. Torr	How benign is benign overfitting?	CoRR	2020	DBLP BibTeX RDF
17	Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler 0001, Kim-Hui Yap, Vijay Chandrasekhar 0001	Empirical Analysis of Overfitting and Mode Drop in GAN Training.	CoRR	2020	DBLP BibTeX RDF
17	Maciej A. Czyzewski	batchboost: regularization for stabilizing training with resistance to underfitting & overfitting.	CoRR	2020	DBLP BibTeX RDF
17	Vijay Pandey	Overcoming Overfitting and Large Weight Update Problem in Linear Rectifiers: Thresholded Exponential Rectified Linear Units.	CoRR	2020	DBLP BibTeX RDF
17	Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw	An Information-Theoretic Perspective on Overfitting and Underfitting.	CoRR	2020	DBLP BibTeX RDF
17	Wei Wang 0250, Yimeng Chai, Tao Cui, Chuang Wang, Baohua Zhang, Yue Li 0013, Yi An	Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation.	CoRR	2020	DBLP BibTeX RDF
17	Benjamin J. Lengerich, Eric P. Xing, Rich Caruana	On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks.	CoRR	2020	DBLP BibTeX RDF
17	Zhu Li, Weijie J. Su, Dino Sejdinovic	Benign Overfitting and Noisy Features.	CoRR	2020	DBLP BibTeX RDF
17	Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama	Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting.	CoRR	2020	DBLP BibTeX RDF
17	Zichao Li 0002, Liyuan Liu, Chengyu Dong, Jingbo Shang	Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training.	CoRR	2020	DBLP BibTeX RDF
17	Leslie Rice, Eric Wong 0001, J. Zico Kolter	Overfitting in adversarially robust deep learning.	CoRR	2020	DBLP BibTeX RDF
17	Ke Wang 0035, Christos Thrampoulidis	Benign Overfitting in Binary Classification of Gaussian Mixtures.	CoRR	2020	DBLP BibTeX RDF
17	Illia Horenko	On a scalable entropic breaching of the overfitting barrier in machine learning.	CoRR	2020	DBLP BibTeX RDF
17	Kathrin Grosse, Taesung Lee, Youngja Park, Michael Backes 0001, Ian M. Molloy	A new measure for overfitting and its implications for backdooring of deep learning.	CoRR	2020	DBLP BibTeX RDF
17	Hoki Kim, Woojin Lee, Jaewook Lee 0001	Understanding Catastrophic Overfitting in Single-step Adversarial Training.	CoRR	2020	DBLP BibTeX RDF
17	Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic	Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring.	CoRR	2020	DBLP BibTeX RDF
17	Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres	Protecting GANs against privacy attacks by preventing overfitting.	CoRR	2020	DBLP BibTeX RDF
17	Peizhong Ju, Xiaojun Lin 0001, Jia Liu 0002	Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree.	CoRR	2020	DBLP BibTeX RDF
17	Karim Huesmann, Sören Klemm, Lars Linsen, Benjamin Risse	Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization.	CoRR	2020	DBLP BibTeX RDF
17	Anand Ramakrishnan, Warren B. Jackson, Kent Evans	A novel residual whitening based training to avoid overfitting.	CoRR	2020	DBLP BibTeX RDF
17	Guilherme Perin, Ileana Buhan, Stjepan Picek	Learning when to stop: a mutual information approach to fight overfitting in profiled side-channel analysis.	IACR Cryptol. ePrint Arch.	2020	DBLP BibTeX RDF
17	Oscar Déniz-Suárez, Aníbal Pedraza, Noelia Vállez, Jesús Salido, Gloria Bueno	Robustness to adversarial examples can be improved with overfitting.	Int. J. Mach. Learn. Cybern.	2020	DBLP DOI BibTeX RDF
17	Samuel Yeom, Irene Giacomelli, Alan Menaged, Matt Fredrikson, Somesh Jha	Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning.	J. Comput. Secur.	2020	DBLP DOI BibTeX RDF
17	Richard C. Gerum, André Erpenbeck, Patrick Krauss, Achim Schilling	Sparsity through evolutionary pruning prevents neuronal networks from overfitting.	Neural Networks	2020	DBLP DOI BibTeX RDF
17	Edouard Duchesnay	Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models.		2020	RDF
17	Hayato Itsumi, Florian Beye, Yusuke Shinohara, Takanori Iwai	Training With Cache: Specializing Object Detectors From Live Streams Without Overfitting.	ICIP	2020	DBLP DOI BibTeX RDF
17	Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler 0001, Kim-Hui Yap, Vijay Chandrasekhar 0001	Empirical Analysis Of Overfitting And Mode Drop In Gan Training.	ICIP	2020	DBLP DOI BibTeX RDF
17	Shirley Liu, Charles Lehman, Ghassan AlRegib	Robustness And Overfitting Behavior Of Implicit Background Models.	ICIP	2020	DBLP DOI BibTeX RDF
17	Jayadev Acharya, Ananda Theertha Suresh	Optimal multiclass overfitting by sequence reconstruction from Hamming queries.	ALT	2020	DBLP BibTeX RDF
17	Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen, Benjamin Risse	The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks.	ICPR Workshops (3)	2020	DBLP DOI BibTeX RDF
17	Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones	Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting.	COMPSAC	2020	DBLP DOI BibTeX RDF
17	Liangzhu Ge, Yuexian Hou, Yaju Jiang, Shuai Yao, Chao Yang	VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract).	AAAI	2020	DBLP DOI BibTeX RDF
17	Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin	Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control.	GECCO Companion	2020	DBLP DOI BibTeX RDF
17	Mingyi Lim, Giovani Guizzo, Justyna Petke	Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software.	SSBSE	2020	DBLP DOI BibTeX RDF
17	Brian Davis, Kevin McLoughlin, Jonathan E. Allen, Sally R. Ellingson	Quantifying Overfitting Potential in Drug Binding Datasets.	ICCS (3)	2020	DBLP DOI BibTeX RDF
17	Peizhong Ju, Xiaojun Lin 0001, Jia Liu 0002	Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree.	NeurIPS	2020	DBLP BibTeX RDF
17	Stéphane d'Ascoli, Levent Sagun, Giulio Biroli	Triple descent and the two kinds of overfitting: where & why do they appear?	NeurIPS	2020	DBLP BibTeX RDF
17	Fernando M. de Paula Neto, Gustavo I. S. Filho, Cláudio A. Monteiro	Approaches to Avoid Overfitting in a Quantum Perceptron.	IJCNN	2020	DBLP DOI BibTeX RDF
17	Hyun-il Lim	A Study on the Effect of DropConnect to Control Overfitting in Designing Neural Networks.	MLIS	2020	DBLP DOI BibTeX RDF
17	Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur	Observational Overfitting in Reinforcement Learning.	ICLR	2020	DBLP BibTeX RDF
17	Satrajit Chatterjee, Alan Mishchenko	Circuit-Based Intrinsic Methods to Detect Overfitting.	ICML	2020	DBLP BibTeX RDF
17	Leslie Rice, Eric Wong 0001, J. Zico Kolter	Overfitting in adversarially robust deep learning.	ICML	2020	DBLP BibTeX RDF
17	Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau	On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). (Journal track)	IJCAI	2020	DBLP DOI BibTeX RDF
17	Nan Lu, Tianyi Zhang, Gang Niu 0001, Masashi Sugiyama	Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach.	AISTATS	2020	DBLP BibTeX RDF
17	Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw	An Information-Theoretic Perspective on Overfitting and Underfitting.	Australasian Conference on Artificial Intelligence	2020	DBLP DOI BibTeX RDF
17	Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber	Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries.	ACL	2020	DBLP DOI BibTeX RDF