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Reducing Overfitting in Deep Networks by Decorrelating Representations

19 November 2015

Papers citing "Reducing Overfitting in Deep Networks by Decorrelating Representations"

50 / 168 papers shown

Title
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation Alexander Hsu Ike Griss Salas Jacob Stevens-Haas J. Nathan Kutz Aleksandr Aravkin Bamdad Hosseini 68 0 0 23 Nov 2025
AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography Mohammad Atwany Mojtaba Lashgari Robin P. Choudhury Vicente Grau Abhirup Banerjee 64 1 0 21 Nov 2025
Energy-Regularized Sequential Model Editing on Hyperspheres Qingyuan Liu Jia-Chen Gu Yunzhi Yao Hong Wang Nanyun Peng KELM 204 0 0 01 Oct 2025
OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features Anton Korznikov Andrey V. Galichin Alexey Dontsov Oleg Y. Rogov Elena Tutubalina Ivan Oseledets 116 0 0 26 Sep 2025
Rethinking Layer-wise Model Merging through Chain of Merges Pietro Buzzega Riccardo Salami Angelo Porrello Simone Calderara MoMe AI4CE 179 0 0 29 Aug 2025
Improved Robustness and Functional Localization in Topographic CNNs Through Weight Similarity Nhut Truong Uri Hasson 72 0 0 31 Jul 2025
Flatness After All? N. Shoham Liron Mor Yosef H. Avron 186 0 0 21 Jun 2025
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains Sabbir Ahmed Mamshad Nayeem Rizve Abdullah Al Arafat Jacqueline T. Liu Rahim Hossain Mohaiminul Al Nahian Adnan Siraj Rakin FedML 192 0 0 27 May 2025
The Role of Fibration Symmetries in Geometric Deep Learning Osvaldo Velarde Lucas Parra Paolo Boldi Hernan Makse FedML AI4CE 202 2 0 28 Aug 2024
AdaRank: Disagreement Based Module Rank Prediction for Low-rank Adaptation Yihe Dong ALM 126 1 0 16 Aug 2024
RealViformer: Investigating Attention for Real-World Video Super-Resolution Yuehan Zhang Angela Yao SupR 233 19 0 19 Jul 2024
Minimizing Chebyshev Prototype Risk Magically Mitigates the Perils of Overfitting Nathaniel R. Dean Dilip Sarkar AAML 177 0 0 10 Apr 2024
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search Junghyup Lee Bumsub Ham 173 27 0 28 Mar 2024
Towards Large-Scale Training of Pathology Foundation Models kaiko.ai N. Aben Edwin D. de Jong Ioannis Gatopoulos Nicolas Kanzig Mikhail Karasikov Axel Lagré Roman Moser J. Doorn Fei Tang MedIm AI4CE 167 19 0 24 Mar 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds H. Tabealhojeh S. Roy Peyman Adibi Hossein Karshenas 181 0 0 28 Feb 2024
Convergence Analysis for Learning Orthonormal Deep Linear Neural NetworksIEEE Signal Processing Letters (IEEE SPL), 2023 Zhen Qin Xuwei Tan Zhihui Zhu 299 1 0 24 Nov 2023
In Search of Lost Online Test-time Adaptation: A SurveyInternational Journal of Computer Vision (IJCV), 2023 Zixin Wang Yadan Luo Liang Zheng Zhuoxiao Chen Sen Wang Zi Huang 344 36 0 31 Oct 2023
Gramian Attention Heads are Strong yet Efficient Vision LearnersIEEE International Conference on Computer Vision (ICCV), 2023 Jongbin Ryu Dongyoon Han J. Lim 202 3 0 25 Oct 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep NetworksNeural Information Processing Systems (NeurIPS), 2023 Jules Berman Benjamin Peherstorfer 147 25 0 07 Oct 2023
Decorrelating neurons using persistence Rubén Ballester Carles Casacuberta Sergio Escalera 170 1 0 09 Aug 2023
Quaternion Convolutional Neural Networks: Current Advances and Future DirectionsAdvances in Applied Clifford Algebras (AACA), 2023 Gerardo Altamirano-Gomez C. Gershenson 239 13 0 17 Jul 2023
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification Haixing Dai Lu Zhang Lin Zhao Zihao Wu Zheng Liu ... Yanjun Lyu Changying Li Ninghao Liu Tianming Liu Dajiang Zhu 226 7 0 10 Jul 2023
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment Guoyang Xie Jinbao Wang Yawen Huang Jiayi Lyu Feng Zheng Yefeng Zheng Yaochu Jin 204 0 0 10 Jul 2023
Variance-Covariance Regularization Improves Representation Learning Jiachen Zhu Katrina Evtimova Yubei Chen Ravid Shwartz-Ziv Yann LeCun SSL 218 8 0 23 Jun 2023
Group Orthogonalization Regularization For Vision Models Adaptation and RobustnessBritish Machine Vision Conference (BMVC), 2023 Yoav Kurtz Noga Bar Raja Giryes 253 1 0 16 Jun 2023
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers F. Tonin Panagiotis Patrinos Johan A. K. Suykens 163 0 0 12 Jun 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 Hojoon Lee Ko-tik Lee Dongyoon Hwang Hyunho Lee ByungKun Lee Jaegul Choo SSL OOD 186 11 0 09 Jun 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in TaobaoInternational Conference on Information and Knowledge Management (CIKM), 2023 Jingyue Gao Shuguang Han Ziru Xu Siran Yang Yuning Jiang Jian Xu Bo Zheng 194 19 0 06 Jun 2023
On Feature Diversity in Energy-based Models Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 154 7 0 02 Jun 2023
Diffused Redundancy in Pre-trained RepresentationsNeural Information Processing Systems (NeurIPS), 2023 Vedant Nanda Till Speicher John P. Dickerson Soheil Feizi Krishna P. Gummadi Adrian Weller SSL 120 5 0 31 May 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive ModelsNeural Information Processing Systems (NeurIPS), 2023 Julien N. Siems Konstantin Ditschuneit Winfried Ripken Alma Lindborg Maximilian Schambach Johannes Otterbach Martin Genzel 232 11 0 19 May 2023
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints Ganzhao Yuan 161 4 0 07 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue DistributionComputer Vision and Pattern Recognition (CVPR), 2023 Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 239 28 0 04 Apr 2023
Regularization of polynomial networks for image recognitionComputer Vision and Pattern Recognition (CVPR), 2023 Grigorios G. Chrysos Bohan Wang Jiankang Deng Volkan Cevher 170 17 0 24 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity GapInternational Conference on Learning Representations (ICLR), 2023 Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 216 23 0 11 Mar 2023
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and DecorrelationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Bac Nguyen Stefan Uhlich Fabien Cardinaux SSL 198 4 0 07 Mar 2023
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis Ricards Marcinkevics Patricia Reis Wolfertstetter Ugne Klimiene Kieran Chin-Cheong Alyssia Paschke ... David Niederberger S. Wellmann Ece Ozkan C. Knorr Julia E. Vogt 248 33 0 28 Feb 2023
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features Jiesi Hu Yanwu Yang Xutao Guo Tingxia Ma 127 4 0 28 Feb 2023
Look Beyond Bias with Entropic Adversarial Data AugmentationInternational Conference on Pattern Recognition (ICPR), 2022 Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Liming Chen CML 175 4 0 10 Jan 2023
WLD-Reg: A Data-dependent Within-layer Diversity RegularizerAAAI Conference on Artificial Intelligence (AAAI), 2023 Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj AI4CE 120 8 0 03 Jan 2023
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionACM Transactions on Knowledge Discovery from Data (TKDD), 2022 Youru Li Zhenfeng Zhu Xiaobo Guo Shaoshuai Li Yuchen Yang Yao Zhao AI4TS 118 10 0 15 Nov 2022
Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation RegularizationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022 Ting Wang Zhedong Zheng Zunjie Zhu Yuhan Gao Yi Yang Chenggang Yan 158 54 0 10 Nov 2022
Discriminatory and orthogonal feature learning for noise robust keyword spottingIEEE Signal Processing Letters (SPL), 2022 Donghyeon Kim Kyungdeuk Ko D. Han Hanseok Ko 121 5 0 20 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 397 22 0 09 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated LearningInternational Conference on Learning Representations (ICLR), 2022 Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 364 75 0 01 Oct 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 203 10 0 29 Sep 2022
Efficient CNN with uncorrelated Bag of Features poolingIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022 Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 129 2 0 22 Sep 2022
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation Mustafa Ayazoglu Bahri Batuhan Bilecen SupR 214 5 0 31 Aug 2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized RepresentationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Juanwu Lu Wei Zhan Masayoshi Tomizuka Yeping Hu 128 7 0 06 Aug 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz NetworksEuropean Conference on Computer Vision (ECCV), 2022 Bernd Prach Christoph H. Lampert 232 40 0 05 Aug 2022