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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
Regularizing activations in neural networks via distribution matching with the Wasserstein metricInternational Conference on Learning Representations (ICLR), 2020 Taejong Joo Donggu Kang Byunghoon Kim 169 8 0 13 Feb 2020
Topologically Densified DistributionsInternational Conference on Machine Learning (ICML), 2020 Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 168 15 0 12 Feb 2020
Reconstructing the Noise Manifold for Image Denoising Ioannis Marras Grigorios G. Chrysos I. Alexiou Greg Slabaugh Stefanos Zafeiriou GAN AI4CE 134 6 0 11 Feb 2020
Concept Whitening for Interpretable Image RecognitionNature Machine Intelligence (NMI), 2020 Zhi Chen Yijie Bei Cynthia Rudin FAtt 416 346 0 05 Feb 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley TransformInternational Conference on Learning Representations (ICLR), 2020 Jun Li Fuxin Li S. Todorovic 182 118 0 04 Feb 2020
Diabetic Retinopathy detection by retinal image recognizing Gilberto Luis De Conto Junior 70 0 0 14 Jan 2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal FiltersIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Ziming Zhang Wenchi Ma Yuanwei Wu Guanghui Wang 296 11 0 05 Jan 2020
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare ContextAAAI Conference on Artificial Intelligence (AAAI), 2019 Liantao Ma Chaohe Zhang Yasha Wang Wenjie Ruan Jiantao Wang Wen Tang Xinyu Ma Xin Gao Junyi Gao 151 175 0 27 Nov 2019
Efficient decorrelation of features using Gramian in Reinforcement Learning B. Mavrin D. Graves Alan Chan 134 1 0 19 Nov 2019
Continual Learning in Neural Networks Rahaf Aljundi CLL 171 42 0 07 Oct 2019
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks Beyrem Khalfaoui Joseph Boyd Jean-Philippe Vert 111 3 0 21 Sep 2019
Learning Neural Networks with Adaptive RegularizationNeural Information Processing Systems (NeurIPS), 2019 Han Zhao Yifan Hao Ruslan Salakhutdinov Geoffrey J. Gordon 100 16 0 14 Jul 2019
Tuning-Free Disentanglement via Projection Yue Bai L. Duan 188 3 0 27 Jun 2019
Regularizing Neural Networks via Minimizing Hyperspherical EnergyComputer Vision and Pattern Recognition (CVPR), 2019 Rongmei Lin Weiyang Liu Zhen Liu Chen Feng Zhiding Yu James M. Rehg Li Xiong Le Song 184 44 0 12 Jun 2019
Improving Neural Language Modeling via Adversarial TrainingInternational Conference on Machine Learning (ICML), 2019 Dilin Wang Chengyue Gong Qiang Liu AAML 242 122 0 10 Jun 2019
Feature Map Transform Coding for Energy-Efficient CNN InferenceIEEE International Joint Conference on Neural Network (IJCNN), 2019 Brian Chmiel Chaim Baskin Ron Banner Evgenii Zheltonozhskii Yevgeny Yermolin Alex Karbachevsky A. Bronstein A. Mendelson 218 26 0 26 May 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers Kui Jia Jiehong Lin Zhuliang Yu Dacheng Tao 3DV 148 35 0 25 Apr 2019
Sparseout: Controlling Sparsity in Deep Networks Najeeb Khan Ian Stavness BDL 93 9 0 17 Apr 2019
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks Sudhakar Kumawat Shanmuganathan Raman 3DPC 148 83 0 06 Apr 2019
Iterative Normalization: Beyond Standardization towards Efficient Whitening Lei Huang Yi Zhou Fan Zhu Li Liu Ling Shao 175 172 0 06 Apr 2019
Consistent Dialogue Generation with Self-supervised Feature Learning Yizhe Zhang Yantao Du Sungjin Lee Chris Brockett Michel Galley Jianfeng Gao W. Dolan 187 28 0 13 Mar 2019
Phase-aware Speech Enhancement with Deep Complex U-Net Hyeong-Seok Choi Jang-Hyun Kim Jaesung Huh A. Kim Jung-Woo Ha Kyogu Lee 236 370 0 07 Mar 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Edouard Grave Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 230 118 0 14 Feb 2019
On Correlation of Features Extracted by Deep Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2019 B. Ayinde T. Inanc J. Zurada 181 25 0 30 Jan 2019
Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selection Asanka G. Perera Yee Wei Law J. Chahl 99 19 0 16 Dec 2018
Leveraging Filter Correlations for Deep Model Compression Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri 205 74 0 26 Nov 2018
RePr: Improved Training of Convolutional FiltersComputer Vision and Pattern Recognition (CVPR), 2018 Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 353 58 0 18 Nov 2018
Statistical Characteristics of Deep Representations: An Empirical Investigation Daeyoung Choi Kyungeun Lee Changho Shin Stephen J. Roberts AI4TS 102 2 0 08 Nov 2018
An ETF view of Dropout regularization Dor Bank Raja Giryes 193 4 0 14 Oct 2018
Utilizing Class Information for Deep Network Representation ShapingAAAI Conference on Artificial Intelligence (AAAI), 2018 Daeyoung Choi Wonjong Rhee 92 2 0 25 Sep 2018
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations Trained on Scarce Data Marta Baginska P. Srokosz AI4CE 46 45 0 22 Sep 2018
Removing the Feature Correlation Effect of Multiplicative Noise Zijun Zhang Yining Zhang Zongpeng Li 161 9 0 19 Sep 2018
Filter Distillation for Network CompressionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018 Xavier Suau Luca Zappella N. Apostoloff 197 41 0 20 Jul 2018
Uncorrelated Feature Encoding for Faster Image Style TransferNeural Networks (NN), 2018 Minseong Kim Jongju Shin Myung-Cheol Roh Hyun-Chul Choi 142 19 0 04 Jul 2018
Restructuring Batch Normalization to Accelerate CNN TrainingUSENIX workshop on Tackling computer systems problems with machine learning techniques (SPMLT), 2018 Wonkyung Jung Daejin Jung and Byeongho Kim Sunjung Lee Wonjong Rhee Jung Ho Ahn 128 69 0 04 Jul 2018
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 219 120 0 14 Jun 2018
Learning towards Minimum Hyperspherical Energy Weiyang Liu Rongmei Lin Ziqiang Liu Lixin Liu Zhiding Yu Bo Dai Le Song 342 164 0 23 May 2018
Robust Conditional Generative Adversarial Networks Grigorios G. Chrysos Jean Kossaifi Stefanos Zafeiriou GAN 166 31 0 22 May 2018
Homocentric Hypersphere Feature Embedding for Person Re-identificationInternational Conference on Information Photonics (ICIP), 2018 Wangmeng Xiang Jianqiang Huang Xianbiao Qi Xiansheng Hua Lei Zhang 165 13 0 24 Apr 2018
Decorrelated Batch Normalization Lei Huang Dawei Yang B. Lang Gaowen Liu 192 201 0 23 Apr 2018
Learning Structure and Strength of CNN Filters for Small Sample Size Training Rohit Keshari Mayank Vatsa Richa Singh A. Noore 103 88 0 30 Mar 2018
Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification Jianlou Si Honggang Zhang Chun-Guang Li Jason Kuen Xiangfei Kong Alex C. Kot G. Wang 143 481 0 27 Mar 2018
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in ExecutablesEuropean Signal Processing Conference (EUSIPCO), 2018 Bojan Kolosnjaji Ambra Demontis Battista Biggio Davide Maiorca Giorgio Giacinto Claudia Eckert Fabio Roli AAML 141 332 0 12 Mar 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis P. Xie Wei Wu Yichen Zhu Eric Xing 159 30 0 16 Feb 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M. Opitz Georg Waltner Horst Possegger Horst Bischof FedML OOD 254 171 0 15 Jan 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 175 82 0 05 Dec 2017
Learning Less-Overlapping Representations P. Xie Hongbao Zhang Eric Xing 135 3 0 25 Nov 2017
Diversity-Promoting Bayesian Learning of Latent Variable Models P. Xie Jun Zhu Eric Xing 119 32 0 23 Nov 2017
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 204 177 0 07 Nov 2017
Malware Detection by Eating a Whole EXE Edward Raff Jon Barker Jared Sylvester Robert Brandon Bryan Catanzaro Charles K. Nicholas 193 603 0 25 Oct 2017