Search results for "overfitting"

Hits ?▲	Authors	Title	Venue	Year	Link
17	Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin	Sparse Double Descent: Where Network Pruning Aggravates Overfitting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart	Learning sparse features can lead to overfitting in neural networks.	CoRR	2022	DBLP DOI BibTeX RDF
17	Matias Valdenegro-Toro, Matthia Sabatelli	Machine Learning Students Overfit to Overfitting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela	Leveraging progressive model and overfitting for efficient learned image compression.	CoRR	2022	DBLP DOI BibTeX RDF
17	Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero 0001	NeuForm: Adaptive Overfitting for Neural Shape Editing.	CoRR	2022	DBLP DOI BibTeX RDF
17	Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan	Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models.	CoRR	2022	DBLP DOI BibTeX RDF
17	Muhammad Zaid Hameed, Beat Buesser	Boundary Adversarial Examples Against Adversarial Overfitting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub	Emergent Communication: Generalization and Overfitting in Lewis Games.	CoRR	2022	DBLP DOI BibTeX RDF
17	Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng 0007	Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models.	CoRR	2022	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.	CoRR	2022	DBLP DOI BibTeX RDF
17	Lin Li, Michael W. Spratling	Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization.	CoRR	2022	DBLP DOI BibTeX RDF
17	Julien Chhor, Suzanne Sigalla, Alexandre B. Tsybakov	Benign overfitting and adaptive nonparametric regression.	CoRR	2022	DBLP DOI BibTeX RDF
17	Chuhan Xu, Pablo Coen-Pirani, Xia Jiang	Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis.	CoRR	2022	DBLP DOI BibTeX RDF
17	Artem Strashko, E. Miles Stoudenmire	Generalization and Overfitting in Matrix Product State Machine Learning Architectures.	CoRR	2022	DBLP DOI BibTeX RDF
17	Joshua Shunk	Neuron-Specific Dropout: A Deterministic Regularization Technique to Prevent Neural Networks from Overfitting & Reduce Dependence on Large Training Samples.	CoRR	2022	DBLP BibTeX RDF
17	Claudio Filipi Gonçalves dos Santos, João Paulo Papa	Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks.	CoRR	2022	DBLP BibTeX RDF
17	Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner	Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise.	CoRR	2022	DBLP DOI BibTeX RDF
17	Yixiong Zou, Shanghang Zhang, Yuhua Li 0003, Ruixuan Li 0001	Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation.	CoRR	2022	DBLP DOI BibTeX RDF
17	Masahiro Kato, Masaaki Imaizumi	Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression.	CoRR	2022	DBLP BibTeX RDF
17	Yoav Wald, Gal Yona, Uri Shalit, Yair Carmon	Malign Overfitting: Interpolation Can Provably Preclude Invariance.	CoRR	2022	DBLP DOI BibTeX RDF
17	Jing Xu, Jiaye Teng, Andrew Chi-Chih Yao	Relaxing the Feature Covariance Assumption: Time-Variant Bounds for Benign Overfitting in Linear Regression.	CoRR	2022	DBLP BibTeX RDF
17	Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett	Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data.	CoRR	2022	DBLP BibTeX RDF
17	Shudong Zhang, Haichang Gao, Tianwei Zhang 0004, Yunyi Zhou, Zihui Wu	Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization.	CoRR	2022	DBLP DOI BibTeX RDF
17	Chaojian Yu, Bo Han 0003, Li Shen 0008, Jun Yu 0001, Chen Gong 0002, Mingming Gong, Tongliang Liu	Understanding Robust Overfitting of Adversarial Training and Beyond.	CoRR	2022	DBLP DOI BibTeX RDF
17	Ohad Shamir	The Implicit Bias of Benign Overfitting.	CoRR	2022	DBLP BibTeX RDF
17	Masahiro Kobayashi, Kouhei Nakaji, Naoki Yamamoto	Overfitting in quantum machine learning and entangling dropout.	CoRR	2022	DBLP DOI BibTeX RDF
17	Alethea Power, Yuri Burda, Harrison Edwards, Igor Babuschkin, Vedant Misra	Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.	CoRR	2022	DBLP BibTeX RDF
17	Jincheng Dai, Sixian Wang, Ke Yang 0006, Kailin Tan, Xiaoqi Qin, Zhongwei Si, Kai Niu 0001, Ping Zhang 0003	Adaptive Semantic Communications: Overfitting the Source and Channel for Profit.	CoRR	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.	CoRR	2022	DBLP DOI BibTeX RDF
17	Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao 0001, Le Gan, De-Chuan Zhan	Avoid Overfitting User Specific Information in Federated Keyword Spotting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Mikhail Belkin, Preetum Nakkiran	Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr	Catastrophic overfitting is a bug but also a feature.	CoRR	2022	DBLP DOI BibTeX RDF
17	Yuan Cao 0006, Zixiang Chen, Mikhail Belkin, Quanquan Gu	Benign Overfitting in Two-layer Convolutional Neural Networks.	CoRR	2022	DBLP BibTeX RDF
17	Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang	Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Lisha Chen, Songtao Lu, Tianyi Chen	Understanding Benign Overfitting in Nested Meta Learning.	CoRR	2022	DBLP DOI BibTeX RDF
17	Julia Grabinski, Steffen Jung 0001, Janis Keuper, Margret Keuper	FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Ao Sun, Yuh-Dauh Lyuu	Backtesting Trading Strategies with GAN To Avoid Overfitting.	CoRR	2022	DBLP DOI BibTeX RDF
17	Ming Li, Sijing Yu, Ruihong Huang	Less is More: Simplifying Feature Extractors Prevents Overfitting for Neural Discourse Parsing Models.	CoRR	2022	DBLP DOI BibTeX RDF
17	Liam Welsh, Phillip Shreeves	Addressing overfitting in spectral clustering via a non-parametric bootstrap.	CoRR	2022	DBLP DOI BibTeX RDF
17	Claudio Filipi Goncalves dos Santos, João Paulo Papa	Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks.	ACM Comput. Surv.	2022	DBLP DOI BibTeX RDF
17	Masahiro Kobayashi, Kouhei Nakaji, Naoki Yamamoto	Overfitting in quantum machine learning and entangling dropout.	Quantum Mach. Intell.	2022	DBLP DOI BibTeX RDF
17	Azade Rezaeezade, Lejla Batina	Regularizers to the Rescue: Fighting Overfitting in Deep Learning-based Side-channel Analysis.	IACR Cryptol. ePrint Arch.	2022	DBLP BibTeX RDF
17	Satoru Watanabe, Hayato Yamana	Overfitting measurement of convolutional neural networks using trained network weights.	Int. J. Data Sci. Anal.	2022	DBLP DOI BibTeX RDF
17	Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng 0007	Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models.	CIKM	2022	DBLP DOI BibTeX RDF
17	Siobhan Reid, Ken Ferens, Witold Kinsner	Adaptive Chaotic Injection to Reduce Overfitting in Artificial Neural Networks.	ICCI*CC	2022	DBLP DOI BibTeX RDF
17	Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao 0001, Le Gan, De-Chuan Zhan	Avoid Overfitting User Specific Information in Federated Keyword Spotting.	INTERSPEECH	2022	DBLP DOI BibTeX RDF
17	Iurii S. Nagornov	Overfitting Problem in the Approximate Bayesian Computation Method Based on Maxima Weighted Isolation Kernel.	JSAI-isAI Workshops	2022	DBLP DOI BibTeX RDF
17	Shudong Zhang, Haichang Gao, Yunyi Zhou, Zihui Wu, Yiwen Tang	Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training.	KSEM (3)	2022	DBLP DOI BibTeX RDF
17	Amirfarhad Nilizadeh	Automated Program Repair and Test Overfitting: Measurements and Approaches using Formal Methods.	ICST	2022	DBLP DOI BibTeX RDF
17	Varun Sivashankar, Nikil Selvam	Local Linearity and Double Descent in Catastrophic Overfitting.	COMAD/CODS	2022	DBLP DOI BibTeX RDF
17	Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, Jacob D. Hochhalter	Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression.	GECCO Companion	2022	DBLP DOI BibTeX RDF
17	Yabo Fu, Yang Lei 0002, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu 0004, Xiaofeng Yang 0005	Deep learning based volume-to-slice MRI registration via intentional overfitting.	Medical Imaging: Image-Guided Procedures	2022	DBLP DOI BibTeX RDF
17	María Santamaría 0001, Ruiying Yang, Francesco Cricri, Honglei Zhang, Jani Lainema, Ramin Ghaznavi Youvalari, Hamed R. Tavakoli, Miska M. Hannuksela	Overfitting multiplier parameters for content-adaptive post-filtering in video coding.	EUVIP	2022	DBLP DOI BibTeX RDF
17	Chengyu Dong, Liyuan Liu, Jingbo Shang	Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting.	NeurIPS	2022	DBLP BibTeX RDF
17	Yixiong Zou, Shanghang Zhang, Yuhua Li 0003, Ruixuan Li 0001	Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation.	NeurIPS	2022	DBLP BibTeX RDF
17	Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan	Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models.	NeurIPS	2022	DBLP BibTeX RDF
17	Neil Mallinar, James B. Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran	Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting.	NeurIPS	2022	DBLP BibTeX RDF
17	Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub	Emergent Communication: Generalization and Overfitting in Lewis Games.	NeurIPS	2022	DBLP BibTeX RDF
17	Lisha Chen, Songtao Lu, Tianyi Chen	Understanding Benign Overfitting in Gradient-Based Meta Learning.	NeurIPS	2022	DBLP BibTeX RDF
17	Connor Z. Lin, Niloy J. Mitra, Gordon Wetzstein, Leonidas J. Guibas, Paul Guerrero 0001	NeuForm: Adaptive Overfitting for Neural Shape Editing.	NeurIPS	2022	DBLP BibTeX RDF
17	Yuan Cao 0006, Zixiang Chen, Misha Belkin, Quanquan Gu	Benign Overfitting in Two-layer Convolutional Neural Networks.	NeurIPS	2022	DBLP BibTeX RDF
17	Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart	Learning sparse features can lead to overfitting in neural networks.	NeurIPS	2022	DBLP BibTeX RDF
17	Matias Valdenegro-Toro, Matthia Sabatelli	Machine Learning Students Overfit to Overfitting.	Teaching ML	2022	DBLP BibTeX RDF
17	Ohad Shamir	The Implicit Bias of Benign Overfitting.	COLT	2022	DBLP BibTeX RDF
17	Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett	Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data.	COLT	2022	DBLP BibTeX RDF
17	Julia Grabinski, Steffen Jung 0001, Janis Keuper, Margret Keuper	FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting.	ECCV (14)	2022	DBLP DOI BibTeX RDF
17	Chaojian Yu, Bo Han 0003, Li Shen 0008, Jun Yu 0001, Chen Gong 0002, Mingming Gong, Tongliang Liu	Understanding Robust Overfitting of Adversarial Training and Beyond.	ICML	2022	DBLP BibTeX RDF
17	Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin	Sparse Double Descent: Where Network Pruning Aggravates Overfitting.	ICML	2022	DBLP BibTeX RDF
17	Dmitry V. Vinogradov	Small Overfitting Probability in Minimization of Empirical Risk for FCA-based Machine Learning.	FCA4AI@IJCAI	2022	DBLP BibTeX RDF
17	Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner	Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise.	SSCI	2022	DBLP DOI BibTeX RDF
17	Ce Xu, Xiu Tang, Peng Lu	Using the Strongest Adversarial Example to Alleviate Robust Overfitting.	ADMA (2)	2022	DBLP DOI BibTeX RDF
17	Bihi Sabiri, Bouchra El Asri, Maryem Rhanoui	Efficient Deep Neural Network Training Techniques for Overfitting Avoidance.	ICEIS (Revised Selected Papers)	2022	DBLP DOI BibTeX RDF
17	Bihi Sabiri, Bouchra El Asri, Maryem Rhanoui	Mechanism of Overfitting Avoidance Techniques for Training Deep Neural Networks.	ICEIS (1)	2022	DBLP DOI BibTeX RDF
17	Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu 0001, Caiwen Ding	Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.	ACL (1)	2022	DBLP DOI BibTeX RDF
17	Enes Eken	Determining overfitting and underfitting in generative adversarial networks using Fréchet distance.	Turkish J. Electr. Eng. Comput. Sci.	2021	DBLP DOI BibTeX RDF
17	Zeju Li, Konstantinos Kamnitsas, Ben Glocker	Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.	IEEE Trans. Medical Imaging	2021	DBLP DOI BibTeX RDF
17	Wen He, Yanqiong Li, Jinye Wang, Yuefeng Yao, Ling Yu, Daxing Gu, Longkang Ni	Using Field Spectroradiometer to Estimate the Leaf N/P Ratio of Mixed Forest in a Karst Area of Southern China: A Combined Model to Overcome Overfitting.	Remote. Sens.	2021	DBLP DOI BibTeX RDF
17	Jongwan Kim, Hoon Kim	Length of Pseudorandom Binary Sequence Required to Train Artificial Neural Network Without Overfitting.	IEEE Access	2021	DBLP DOI BibTeX RDF
17	Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yonggong Ren	LBCF: A Link-Based Collaborative Filtering for Overfitting Problem in Recommender System.	IEEE Trans. Comput. Soc. Syst.	2021	DBLP DOI BibTeX RDF
17	Mansheng Xiao, Yuezhong Wu, Guocai Zuo, Shuangnan Fan, Huijun Yu, Zeeshan Azmat Shaikh, Zhiqiang Wen	Addressing Overfitting Problem in Deep Learning-Based Solutions for Next Generation Data-Driven Networks.	Wirel. Commun. Mob. Comput.	2021	DBLP DOI BibTeX RDF
17	Asma' Amro, Mousa T. Al-Akhras, Khalil M. El Hindi, Mohamed Habib, Bayan Abu Shawar	Instance Reduction for Avoiding Overfitting in Decision Trees.	J. Intell. Syst.	2021	DBLP DOI BibTeX RDF
17	Mohammad Mahdi Bejani, Mehdi Ghatee	A systematic review on overfitting control in shallow and deep neural networks.	Artif. Intell. Rev.	2021	DBLP DOI BibTeX RDF
17	Lei Cheng 0003, Qingjiang Shi	Towards Overfitting Avoidance: Tuning-Free Tensor-Aided Multi-User Channel Estimation for 3D Massive MIMO Communications.	IEEE J. Sel. Top. Signal Process.	2021	DBLP DOI 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.	Neural Comput.	2021	DBLP DOI BibTeX RDF
17	Yubin Park, Joyce C. Ho	Tackling Overfitting in Boosting for Noisy Healthcare Data.	IEEE Trans. Knowl. Data Eng.	2021	DBLP DOI BibTeX RDF
17	Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban	ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training.	CoRR	2021	DBLP BibTeX RDF
17	Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause 0001, Matthias W. Seeger, Cédric Archambeau	Overfitting in Bayesian Optimization: an empirical study and early-stopping solution.	CoRR	2021	DBLP BibTeX RDF
17	Chen Liu 0027, Zhichao Huang, Mathieu Salzmann, Tong Zhang 0023, Sabine Süsstrunk	On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training.	CoRR	2021	DBLP BibTeX RDF
17	Ke Wang 0035, Vidya Muthukumar, Christos Thrampoulidis	Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation.	CoRR	2021	DBLP BibTeX RDF
17	Zeju Li, Konstantinos Kamnitsas, Ben Glocker	Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation.	CoRR	2021	DBLP BibTeX RDF
17	Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu 0001, Caiwen Ding	Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.	CoRR	2021	DBLP BibTeX RDF
17	Xiaoshuang Shi, Zhenhua Guo 0001, Fuyong Xing, Yun Liang 0012, Xiaofeng Zhu 0001	Self-paced Resistance Learning against Overfitting on Noisy Labels.	CoRR	2021	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.	CoRR	2021	DBLP BibTeX RDF
17	Yaoyu Zhang, Tao Luo 0012, Zheng Ma 0009, Zhi-Qin John Xu	Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks.	CoRR	2021	DBLP BibTeX RDF
17	Varun Sivashankar, Nikil Selvam	Local Linearity and Double Descent in Catastrophic Overfitting.	CoRR	2021	DBLP BibTeX RDF
17	Vasu Singla, Sahil Singla 0002, David Jacobs 0001, Soheil Feizi	Low Curvature Activations Reduce Overfitting in Adversarial Training.	CoRR	2021	DBLP BibTeX RDF
17	Frederic Koehler, Lijia Zhou, Danica J. Sutherland, Nathan Srebro	Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting.	CoRR	2021	DBLP BibTeX RDF
17	Wancong Zhang, Ieshan Vaidya	MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture.	CoRR	2021	DBLP BibTeX RDF
17	Ties van Rozendaal, Iris A. M. Huijben, Taco S. Cohen	Overfitting for Fun and Profit: Instance-Adaptive Data Compression.	CoRR	2021	DBLP 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.	CoRR	2021	DBLP BibTeX RDF