Regularizing CNNs with Locally Constrained Decorrelations

7 November 2016

Papers citing "Regularizing CNNs with Locally Constrained Decorrelations"

29 / 79 papers shown

Title
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos? Gege Zhang Gang-cheng Li Ningwei Shen Weidong Zhang 14 6 0 11 Oct 2019
Continual Learning in Neural Networks Rahaf Aljundi CLL 25 33 0 07 Oct 2019
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks Beyrem Khalfaoui Joseph Boyd Jean-Philippe Vert 22 3 0 21 Sep 2019
Regularizing Neural Networks via Minimizing Hyperspherical Energy Rongmei Lin Weiyang Liu Zhen Liu Chen Feng Zhiding Yu James M. Rehg Li Xiong Le Song 17 35 0 12 Jun 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification Bingzhe Wu Shiwan Zhao Guangyu Sun Xiaolu Zhang Zhong Su C. Zeng Zhihong Liu 22 39 0 30 May 2019
Locality-Promoting Representation Learning Johannes Schneider 12 2 0 25 May 2019
How degenerate is the parametrization of neural networks with the ReLU activation function? Julius Berner Dennis Elbrächter Philipp Grohs ODL 25 28 0 23 May 2019
Minimal model of permutation symmetry in unsupervised learning Tianqi Hou K. Y. Michael Wong Haiping Huang 6 19 0 30 Apr 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers Kui Jia Jiehong Lin Mingkui Tan Dacheng Tao 3DV 25 32 0 25 Apr 2019
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks Sudhakar Kumawat Shanmuganathan Raman 3DPC 13 77 0 06 Apr 2019
Iterative Normalization: Beyond Standardization towards Efficient Whitening Lei Huang Yi Zhou Fan Zhu Li Liu Ling Shao 24 140 0 06 Apr 2019
On Correlation of Features Extracted by Deep Neural Networks B. Ayinde T. Inanc J. Zurada 11 25 0 30 Jan 2019
Diversity Regularized Adversarial Learning B. Ayinde Keishin Nishihama J. Zurada GAN 14 1 0 30 Jan 2019
Leveraging Filter Correlations for Deep Model Compression Pravendra Singh Vinay K. Verma Piyush Rai Vinay P. Namboodiri 8 65 0 26 Nov 2018
RePr: Improved Training of Convolutional Filters Aaditya (Adi) Prakash J. Storer D. Florêncio Cha Zhang VLM CVBM 27 57 0 18 Nov 2018
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 14 189 0 22 Oct 2018
Removing the Feature Correlation Effect of Multiplicative Noise Zijun Zhang Yining Zhang Zongpeng Li 13 8 0 19 Sep 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions Jinhyeok Jang Hyunjoong Cho Jaehong Kim Jaeyeon Lee Seungjoon Yang 18 2 0 11 Sep 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 16 38 0 20 Jul 2018
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks Jens Behrmann Sören Dittmer Pascal Fernsel Peter Maass 22 12 0 25 Jun 2018
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 28 114 0 14 Jun 2018
Learning towards Minimum Hyperspherical Energy Weiyang Liu Rongmei Lin Ziqiang Liu Lixin Liu Zhiding Yu Bo Dai Le Song 22 145 0 23 May 2018
Decorrelated Batch Normalization Lei Huang Dawei Yang B. Lang Jia Deng 13 190 0 23 Apr 2018
Building Efficient ConvNets using Redundant Feature Pruning B. Ayinde J. Zurada VLM 3DPC 24 47 0 21 Feb 2018
Learning Less-Overlapping Representations P. Xie Hongbao Zhang Eric P. Xing 22 3 0 25 Nov 2017
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 16 172 0 07 Nov 2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang Xianglong Liu B. Lang Adams Wei Yu Yongliang Wang Bo Li ODL 27 223 0 16 Sep 2017
Non-linear Convolution Filters for CNN-based Learning Georgios Zoumpourlis Alexandros Doumanoglou N. Vretos P. Daras 32 93 0 23 Aug 2017
Building effective deep neural network architectures one feature at a time Martin Mundt Tobias Weis K. Konda Visvanathan Ramesh 22 1 0 18 May 2017