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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 80 44 0 17 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 106 736 0 15 Feb 2018
Advancing System Performance with Redundancy: From Biological to Artificial Designs A. Nguyen Han Zhu Diu Khue Luu Qi Zhao Zhi-Xin Yang 26 10 0 14 Feb 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 166 557 0 14 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 98 552 0 14 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 90 592 0 13 Feb 2018
Deep Predictive Coding Network for Object Recognition Haiguang Wen Kuan Han Junxing Shi Yizhen Zhang Eugenio Culurciello Zhongming Liu 60 84 0 13 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 117 309 0 12 Feb 2018
$$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space$ $\mathcal{G}$ -SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space Qi Meng Shuxin Zheng Huishuai Zhang Wei Chen Zhi-Ming Ma Tie-Yan Liu 133 39 0 11 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 131 940 0 09 Feb 2018
Convolutional Hashing for Automated Scene Matching M. Lončarić Bowei Liu Ryan Weber 38 1 0 09 Feb 2018
ShakeDrop Regularization for Deep Residual Learning Yoshihiro Yamada Masakazu Iwamura Takuya Akiba K. Kise 119 165 0 07 Feb 2018
Mixed Link Networks Wenhai Wang Xiang Li Jian Yang Tong Lu 57 54 0 06 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 79 144 0 06 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 261 3,052 0 05 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 75 52 0 02 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 310 3,197 0 01 Feb 2018
Deep Neural Nets with Interpolating Function as Output Activation Bao Wang Xiyang Luo Zerui Li Wei-wei Zhu Zuoqiang Shi Stanley J. Osher 34 3 0 01 Feb 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks Jason Kuen Xiangfei Kong Zhe Lin G. Wang Jianxiong Yin Simon See Yap-Peng Tan BDL 76 25 0 29 Jan 2018
Effective Building Block Design for Deep Convolutional Neural Networks using Search Jayanta K. Dutta Jiayi Liu Unmesh Kurup Mohak Shah 3DV 75 11 0 25 Jan 2018
The Hybrid Bootstrap: A Drop-in Replacement for Dropout R. Kosar D. W. Scott BDL 28 1 0 22 Jan 2018
E-swish: Adjusting Activations to Different Network Depths Eric Alcaide LLMSV 58 35 0 22 Jan 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Arun Mallya Dillon Davis Svetlana Lazebnik CLL 72 35 0 19 Jan 2018
Sparsely Aggregated Convolutional Networks Ligeng Zhu Ruizhi Deng Michael Maire Zhiwei Deng Greg Mori P. Tan 3DPC 148 9 0 18 Jan 2018
FastNet John Olafenwa Moses Olafenwa 29 1 0 17 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift Xiang Li Shuo Chen Xiaolin Hu Jian Yang 82 309 0 16 Jan 2018
Non-Parametric Transformation Networks Dipan K. Pal Marios Savvides 82 7 0 14 Jan 2018
Spatially Transformed Adversarial Examples Chaowei Xiao Jun-Yan Zhu Yue Liu Warren He M. Liu Basel Alomair AAML 107 524 0 08 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu Basel Alomair GAN AAML 131 905 0 08 Jan 2018
Deep Stacked Networks with Residual Polishing for Image Inpainting Ugur Demir Gözde B. Ünal 64 8 0 31 Dec 2017
The CAPIO 2017 Conversational Speech Recognition System Kyu Jeong Han Akshay Chandrashekaran Jungsuk Kim Ian Lane 148 72 0 29 Dec 2017
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 291 1,905 0 28 Dec 2017
Improved Inception-Residual Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha V. Asari 87 119 0 28 Dec 2017
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks Zhiqing Sun Gehui Shen Zhihong Deng 63 7 0 27 Dec 2017
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent Vishwak Srinivasan Adepu Ravi Sankar V. Balasubramanian ODL 39 16 0 20 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 68 93 0 18 Dec 2017
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions Dong-Qing Zhang 60 10 0 17 Dec 2017
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions George Philipp Basel Alomair J. Carbonell ODL 103 46 0 15 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 198 1,460 0 14 Dec 2017
Mathematics of Deep Learning René Vidal Joan Bruna Raja Giryes Stefano Soatto OOD 70 120 0 13 Dec 2017
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks Eunwoo Kim Chanho Ahn Songhwai Oh 44 2 0 11 Dec 2017
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs Samuel Rota Buló Lorenzo Porzi Peter Kontschieder 121 357 0 07 Dec 2017
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 517 1,150 0 04 Dec 2017
Data Dropout in Arbitrary Basis for Deep Network Regularization M. Rahmani George Atia OOD 37 3 0 04 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 89 250 0 30 Nov 2017
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 111 385 0 30 Nov 2017
Semi-Supervised and Active Few-Shot Learning with Prototypical Networks Rinu Boney Alexander Ilin VLM 83 27 0 29 Nov 2017
Exploiting Nontrivial Connectivity for Automatic Speech Recognition Marius Paraschiv Lasse Borgholt T. M. S. Tax Marco Singh Lars Maaløe 50 0 0 28 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? Kensho Hara Hirokatsu Kataoka Y. Satoh 3DPC 135 1,937 0 27 Nov 2017
Learning Less-Overlapping Representations P. Xie Hongbao Zhang Eric Xing 47 3 0 25 Nov 2017