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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
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words RepresentationsEuropean Conference on Computer Vision (ECCV), 2022 Wenjie Pei Shuang Wu Dianwen Mei Fanglin Chen Jiandong Tian Guangming Lu VLM 132 14 0 25 Jul 2022
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech RecognitionInterspeech (Interspeech), 2022 Szu-Jui Chen Jiamin Xie John H. L. Hansen 178 9 0 30 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New PerspectiveKnowledge Discovery and Data Mining (KDD), 2022 Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Shucheng Zhou 170 52 0 15 Jun 2022
Improving Multi-Task Generalization via Regularizing Spurious CorrelationNeural Information Processing Systems (NeurIPS), 2022 Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Luke Huan Ed H. Chi OOD LRM 258 38 0 19 May 2022
Riemannian Hamiltonian methods for min-max optimization on manifoldsSIAM Journal on Optimization (SIAM J. Optim.), 2022 Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 247 19 0 25 Apr 2022
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and DiscoveriesInternational Conference on Information and Knowledge Management (CIKM), 2022 Haekyu Park Seongmin Lee Benjamin Hoover Austin P. Wright Omar Shaikh Rahul Duggal Nilaksh Das Kevin Wenliang Li Judy Hoffman Duen Horng Chau 272 3 0 30 Mar 2022
Constrained Parameter Inference as a Principle for Learning Nasir Ahmad Ellen Schrader Marcel van Gerven 324 12 0 22 Mar 2022
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid PoolingInternational Journal of Computer Vision (IJCV), 2022 Lixiang Ru Bo Du Yibing Zhan Chen Wu 167 54 0 10 Feb 2022
Reducing Redundancy in the Bottleneck Representation of the AutoencodersSocial Science Research Network (SSRN), 2022 Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 249 11 0 09 Feb 2022
Debiased Graph Neural Networks with Agnostic Label Selection BiasIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 252 46 0 19 Jan 2022
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer Shiye Lei Zhuozhuo Tu Leszek Rutkowski Feng Zhou Li Shen Fengxiang He Dacheng Tao BDL 168 2 0 12 Dec 2021
Quality-Aware Multimodal Biometric Recognition Sobhan Soleymani Ali Dabouei Fariborz Taherkhani Seyed Mehdi Iranmanesh J. Dawson Nasser M. Nasrabadi CVBM 153 4 0 10 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning Yujun Shi Kuangqi Zhou Jian Liang Zihang Jiang Jiashi Feng Juil Sock Song Bai Vincent Y. F. Tan CLL 180 73 0 09 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OODD OOD 274 132 0 07 Dec 2021
Feature Disentanglement of Robot Trajectories Matias Valdenegro-Toro Daniel Harnack Hendrik Wöhrle DRL 120 0 0 06 Dec 2021
Learning by Active Forgetting for Neural Networks Jian Peng Xian Sun Min Deng Chao Tao Bo Tang ... Guohua Wu Qing Zhu Yu Liu Tao Lin Haifeng Li CLL KELM AI4CE 189 3 0 21 Nov 2021
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization Thomas Duboudin Emmanuel Dellandrea Corentin Abgrall Gilles Hénaff Liming Chen 101 9 0 15 Jun 2021
Learning distinct features helps, provably Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj MLT 190 6 0 10 Jun 2021
Stochastic Whitening Batch NormalizationComputer Vision and Pattern Recognition (CVPR), 2021 Shengdong Zhang E. Nezhadarya H. Fashandi Jiayi Liu Darin Graham Mohak Shah 184 15 0 03 Jun 2021
A Cluster-based Approach for Improving Isotropy in Contextual Embedding SpaceAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 S. Rajaee Mohammad Taher Pilehvar 149 43 0 02 Jun 2021
Intra-Model Collaborative Learning of Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2021 Shijie Fang Tong Lin 76 2 0 20 May 2021
On Feature Decorrelation in Self-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2021 Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 429 210 0 02 May 2021
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 161 13 0 23 Apr 2021
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks Karim Huesmann Luis Garcia Rodriguez Lars Linsen Benjamin Risse 107 4 0 13 Apr 2021
Knowledge Evolution in Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2021 Ahmed Taha Abhinav Shrivastava L. Davis 154 25 0 09 Mar 2021
Learning with Hyperspherical UniformityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 275 44 0 02 Mar 2021
Sparse-Interest Network for Sequential RecommendationWeb Search and Data Mining (WSDM), 2021 Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Helen Zhou 186 160 0 18 Feb 2021
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS Sajila D. Wickramaratne Md. Shaad Mahmud 39 6 0 14 Jan 2021
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation TransferNeural Information Processing Systems (NeurIPS), 2020 Zidi Xiu Junya Chen Ricardo Henao B. Goldstein Lawrence Carin Chenyang Tao 143 11 0 25 Nov 2020
Anti-Distillation: Improving reproducibility of deep networks G. Shamir Lorenzo Coviello 215 19 0 19 Oct 2020
Neural Random Projection: From the Initial Task To the Input Similarity Problem A. Savushkin Nikita Benkovich Dmitry Golubev 101 0 0 09 Oct 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 308 367 0 27 Sep 2020
Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method Chenguang Zhang Yuexian Hou D. Song Liangzhu Ge Yaoshuai Yao 125 4 0 19 Sep 2020
A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems Hyunsung Lee Yeongjae Jang Jaekwang Kim Honguk Woo 98 1 0 30 Aug 2020
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State AnalysisIEEE/CAA Journal of Automatica Sinica (JCAS), 2020 Ce Zhang A. Eskandarian 106 39 0 25 Aug 2020
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation Siyi Pan Haoliang Li Hongfei Fan Shiqi Wang 230 39 0 19 Aug 2020
Error Autocorrelation Objective Function for Improved System Modeling Anand Ramakrishnan Warren B.Jackson Kent Evans DRL 116 1 0 08 Aug 2020
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition Sudhakar Kumawat Manisha Verma Yuta Nakashima Shanmuganathan Raman 312 49 0 22 Jul 2020
Hierarchical nucleation in deep neural networks Diego Doimo Aldo Glielmo A. Ansuini Alessandro Laio BDL AI4CE 163 35 0 07 Jul 2020
Decorrelated Clustering with Data Selection Bias Xiao Wang Shaohua Fan Kun Kuang C. Shi Jiawei Liu Bai Wang 128 15 0 29 Jun 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Eugene Lee Chen-Yi Lee 107 15 0 23 Jun 2020
Weakly-correlated synapses promote dimension reduction in deep neural networks Jianwen Zhou Haiping Huang 105 6 0 20 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang Canqun Xiang Wenbin Zou Chen Xu 218 24 0 06 Jun 2020
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based FusionIEEE Transactions on Image Processing (TIP), 2020 Lixiang Ru Bo Du Chen Wu 151 79 0 03 Jun 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 158 73 0 21 May 2020
IsoBN: Fine-Tuning BERT with Isotropic Batch NormalizationAAAI Conference on Artificial Intelligence (AAAI), 2020 Wenxuan Zhou Bill Yuchen Lin Xiang Ren 202 27 0 02 May 2020
Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset Tashin Ahmed C. R. Rahman Md. Faysal Mahmud Abid 187 25 0 21 Apr 2020
HERS: Homomorphically Encrypted Representation SearchIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2020 Joshua J. Engelsma Anil K. Jain Vishnu Boddeti 234 62 0 27 Mar 2020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization Karim Huesmann Soeren Klemm Lars Linsen Benjamin Risse 106 2 0 21 Feb 2020
Deep reconstruction of strange attractors from time series W. Gilpin AI4TS 190 3 0 14 Feb 2020