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How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks

12 October 2020

Papers citing "How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks"

26 / 26 papers shown

Title
Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry Atharv Goel Sharat Agarwal Saket Anand Chetan Arora AAML 75 0 0 10 Oct 2025
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier Gaojie Jin Xinping Yi Xiaowei Huang AAML 101 1 0 30 Sep 2025
Improved Robustness and Functional Localization in Topographic CNNs Through Weight Similarity Nhut Truong Uri Hasson 64 0 0 31 Jul 2025
Shapley Uncertainty in Natural Language Generation Meilin Zhu Gaojie Jin Xiaowei Huang Lijun Zhang 114 0 0 29 Jul 2025
On the Stability of the Jacobian Matrix in Deep Neural Networks Benjamin Dadoun Soufiane Hayou Hanan Salam Abdalgader Abubaker Pierre Youssef ODL 321 0 0 10 Jun 2025
Emergence of Structure in Ensembles of Random Neural Networks Luca Muscarnera Luigi Loreti Giovanni Todeschini Alessio Fumagalli Francesco Regazzoni 155 0 0 15 May 2025
The Neural Pruning Law Hypothesis Eugen Barbulescu Antonio Alexoaie Lucian Busoniu 291 0 0 06 Apr 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 236 0 0 21 Mar 2025
Information Consistent Pruning: How to Efficiently Search for Sparse Networks? Soheil Gharatappeh Salimeh Yasaei Sekeh 191 1 0 28 Jan 2025
Enhancing Robust Fairness via Confusional Spectral RegularizationInternational Conference on Learning Representations (ICLR), 2025 Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 464 3 0 22 Jan 2025
On the Adversarial Vulnerabilities of Transfer Learning in Remote SensingIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025 Tao Bai Xingjian Tian Yonghao Xu Bihan Wen AAML 243 0 0 20 Jan 2025
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 316 0 0 01 Jul 2024
Towards Green AI in Fine-tuning Large Language Models via Adaptive BackpropagationInternational Conference on Learning Representations (ICLR), 2023 Kai Huang Hanyu Yin Heng Huang Wei Gao 235 15 0 22 Sep 2023
Decorrelating neurons using persistence Rubén Ballester Carles Casacuberta Sergio Escalera 162 1 0 09 Aug 2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes S. Lehmler Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 136 0 0 01 Aug 2023
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series DatasetsIEEE Access (IEEE Access), 2023 Ayman Elhalwagy T. Kalganova AI4TS 121 2 0 14 May 2023
Randomized Adversarial Training via Taylor ExpansionComputer Vision and Pattern Recognition (CVPR), 2023 Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 289 53 0 19 Mar 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and SpecializationInternational Conference on Learning Representations (ICLR), 2023 Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 136 33 0 09 Mar 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 213 0 0 05 Feb 2023
Improving GANs for Long-Tailed Data through Group Spectral RegularizationEuropean Conference on Computer Vision (ECCV), 2022 Harsh Rangwani Naman Jaswani Tejan Karmali Varun Jampani R. Venkatesh Babu 182 25 0 21 Aug 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud ModelsMachine-mediated learning (ML), 2022 Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni 3DPC 207 12 0 15 Jul 2022
Enhancing Adversarial Training with Second-Order Statistics of WeightsComputer Vision and Pattern Recognition (CVPR), 2022 Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 184 57 0 11 Mar 2022
Weight Expansion: A New Perspective on Dropout and Generalization Gao Jin Xinping Yi Pengfei Yang Lijun Zhang S. Schewe Xiaowei Huang 247 5 0 23 Jan 2022
Neuronal Correlation: a Central Concept in Neural Network Gao Jin Xinping Yi Xiaowei Huang 121 3 0 22 Jan 2022
Adversarial Robustness of Deep Learning: Theory, Algorithms, and ApplicationsInternational Conference on Information and Knowledge Management (CIKM), 2021 Wenjie Ruan Xinping Yi Xiaowei Huang AAML OOD 167 18 0 24 Aug 2021
Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features Nicolas Berthier Amany Alshareef James Sharp S. Schewe Xiaowei Huang 161 10 0 05 Mar 2021