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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

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Title
Non-linear Convolution Filters for CNN-based Learning Georgios Zoumpourlis Alexandros Doumanoglou N. Vretos P. Daras 79 96 0 23 Aug 2017
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing Hanzhang Hu Debadeepta Dey M. Hebert J. Andrew Bagnell 71 6 0 22 Aug 2017
Practical Block-wise Neural Network Architecture Generation Zhaobai Zhong Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 94 126 0 18 Aug 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 210 765 0 17 Aug 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 118 3,660 0 16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 177 3,783 0 15 Aug 2017
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net Guorui Zhou Ying Fan Runpeng Cui Weijie Bian Xiaoqiang Zhu Kun Gai 89 118 0 14 Aug 2017
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References Zizhao Zhang Pingjun Chen Manish Sapkota Ling Yang MedIm 76 69 0 10 Aug 2017
Learning Feature Pyramids for Human Pose Estimation Wei Yang Shuang Li Wanli Ouyang Hongsheng Li Xiaogang Wang 3DH 100 492 0 03 Aug 2017
Deep Asymmetric Multi-task Feature Learning Haebeom Lee Eunho Yang Sung Ju Hwang 82 44 0 01 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 112 35 0 31 Jul 2017
Analysis and Optimization of Convolutional Neural Network Architectures Martin Thoma 99 73 0 31 Jul 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 191 649 0 27 Jul 2017
Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks Ruoxi Deng Tianqi Zhao Chunhua Shen S. Liu 3DV 3DPC 91 4 0 25 Jul 2017
PatchShuffle Regularization Guoliang Kang Xuanyi Dong Liang Zheng Yi Yang 80 75 0 22 Jul 2017
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification William Lotter Greg Sorensen David D. Cox 68 142 0 21 Jul 2017
Deep Layer Aggregation Feng Yu Dequan Wang Evan Shelhamer Trevor Darrell AI4CE FAtt 163 1,334 0 20 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey Hirokatsu Kataoka Soma Shirakabe Yun He S. Ueta Teppei Suzuki ... Ryousuke Takasawa Masataka Fuchida Yudai Miyashita Kazushige Okayasu Yuta Matsuzaki 86 1 0 20 Jul 2017
Deformable Part-based Fully Convolutional Network for Object Detection Taylor Mordan Nicolas Thome Matthieu Cord Gilles Hénaff ObjD 64 15 0 19 Jul 2017
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation Abrar H. Abdulnabi Stefan Winkler G. Wang 34 6 0 18 Jul 2017
Efficient Architecture Search by Network Transformation Han Cai Tianyao Chen Weinan Zhang Yong Yu Jun Wang OOD 3DV 96 67 0 16 Jul 2017
Guiding InfoGAN with Semi-Supervision Adrian Spurr Emre Aksan Otmar Hilliges GAN 76 47 0 14 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 128 81 0 10 Jul 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang Yuanpu Xie Fuyong Xing M. McGough Ling Yang MedIm 68 303 0 08 Jul 2017
Dual Path Networks Yunpeng Chen Jianan Li Huaxin Xiao Xiaojie Jin Shuicheng Yan Jiashi Feng 102 834 0 06 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 137 563 0 05 Jul 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks Lucas Fidon Wenqi Li Luis C. Garcia-Peraza-Herrera J. Ekanayake N. Kitchen Sebastien Ourselin Tom Vercauteren SSeg 128 150 0 03 Jul 2017
Parle: parallelizing stochastic gradient descent Pratik Chaudhari Carlo Baldassi R. Zecchina Stefano Soatto Ameet Talwalkar Adam M. Oberman ODL FedML 85 21 0 03 Jul 2017
GM-Net: Learning Features with More Efficiency Yujia Chen Ce Li 44 6 0 21 Jun 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 236 8,516 0 17 Jun 2017
FreezeOut: Accelerate Training by Progressively Freezing Layers Andrew Brock Theodore Lim J. Ritchie Nick Weston 57 125 0 15 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 301 5,891 0 14 Jun 2017
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks Jia Ding Aoxue Li Zhiqiang Hu Liwei Wang MedIm 83 346 0 14 Jun 2017
Confident Multiple Choice Learning Kimin Lee Changho Hwang KyoungSoo Park Jinwoo Shin 78 49 0 12 Jun 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 105 554 0 12 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 179 2,085 0 08 Jun 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 87 211 0 07 Jun 2017
Are Saddles Good Enough for Deep Learning? Adepu Ravi Sankar V. Balasubramanian 65 5 0 07 Jun 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections Sergey Zagoruyko N. Komodakis UQCV OOD 79 119 0 01 Jun 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 169 1,661 0 01 Jun 2017
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments Zixing Zhang Jürgen T. Geiger Jouni Pohjalainen A. Mousa Wenyu Jin Björn Schuller 75 308 0 30 May 2017
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 258 837 0 27 May 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks Elad Hoffer Itay Hubara Daniel Soudry ODL 198 803 0 24 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 207 481 0 24 May 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 140 530 0 23 May 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation Matthias Hein Maksym Andriushchenko AAML 131 512 0 23 May 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 205 941 0 22 May 2017
Regularizing deep networks using efficient layerwise adversarial training S. Sankaranarayanan Arpit Jain Rama Chellappa Ser Nam Lim AAML 90 97 0 22 May 2017
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients Lukas Balles Philipp Hennig 110 169 0 22 May 2017
Shake-Shake regularization Xavier Gastaldi 3DPC BDL OOD 114 380 0 21 May 2017