Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown

Title
Exponential Discriminative Metric Embedding in Deep Learning Bowen Wu Zhangling Chen Jun Wang Hua-Ming Wu 43 10 0 07 Mar 2018
Convergence of Gradient Descent on Separable Data Mor Shpigel Nacson Jason D. Lee Suriya Gunasekar Pedro H. P. Savarese Nathan Srebro Daniel Soudry 19 164 0 05 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 34 875 0 03 Mar 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling Angelos Katharopoulos François Fleuret 25 510 0 02 Mar 2018
Convolutional Neural Networks with Alternately Updated Clique Yibo Yang Zhisheng Zhong Tiancheng Shen Zhouchen Lin 29 128 0 28 Feb 2018
Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion Randall Balestriero H. Glotin Richard Baraniuk BDL 27 5 0 27 Feb 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 27 734 0 27 Feb 2018
Wide Compression: Tensor Ring Nets Wenqi Wang Yifan Sun Brian Eriksson Wenlin Wang Vaneet Aggarwal 13 168 0 25 Feb 2018
Functional Gradient Boosting based on Residual Network Perception Atsushi Nitanda Taiji Suzuki 25 25 0 25 Feb 2018
Convolutional Neural Networks combined with Runge-Kutta Methods Mai Zhu Bo Chang Chong Fu AI4CE 43 52 0 24 Feb 2018
Adversarial vulnerability for any classifier Alhussein Fawzi Hamza Fawzi Omar Fawzi AAML 33 248 0 23 Feb 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 35 71 0 23 Feb 2018
SparCML: High-Performance Sparse Communication for Machine Learning Cédric Renggli Saleh Ashkboos Mehdi Aghagolzadeh Dan Alistarh Torsten Hoefler 29 126 0 22 Feb 2018
Learning Multiple Categories on Deep Convolution Networks Mohamed Hajaj D. Gillies SSL 24 0 0 21 Feb 2018
Batch Normalization and the impact of batch structure on the behavior of deep convolution networks Mohamed Hajaj D. Gillies FAtt 15 0 0 21 Feb 2018
Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification Shaoning Zeng Bob Zhang Yanghao Zhang Jianping Gou 15 19 0 21 Feb 2018
Generalization in Machine Learning via Analytical Learning Theory Kenji Kawaguchi Yoshua Bengio Vikas Verma Leslie Pack Kaelbling 27 10 0 21 Feb 2018
i-RevNet: Deep Invertible Networks J. Jacobsen A. Smeulders Edouard Oyallon 52 333 0 20 Feb 2018
Do deep nets really need weight decay and dropout? Alex Hernández-García Peter König 30 27 0 20 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 52 45 0 17 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 48 718 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 24 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 70 547 0 14 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 32 543 0 14 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 43 582 0 13 Feb 2018
Deep Predictive Coding Network for Object Recognition Haiguang Wen Kuan Han Junxing Shi Yizhen Zhang Eugenio Culurciello Zhongming Liu 21 83 0 13 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 44 298 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 35 38 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 56 926 0 09 Feb 2018
Convolutional Hashing for Automated Scene Matching M. Lončarić Bowei Liu Ryan Weber 11 1 0 09 Feb 2018
ShakeDrop Regularization for Deep Residual Learning Yoshihiro Yamada Masakazu Iwamura Takuya Akiba K. Kise 26 162 0 07 Feb 2018
Mixed Link Networks Wenhai Wang Xiang Li Jian Yang Tong Lu 19 53 0 06 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 31 144 0 06 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 92 3,000 0 05 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 32 51 0 02 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 104 3,160 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 30 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 30 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 32 11 0 25 Jan 2018
The Hybrid Bootstrap: A Drop-in Replacement for Dropout R. Kosar D. W. Scott BDL 26 1 0 22 Jan 2018
E-swish: Adjusting Activations to Different Network Depths Eric Alcaide LLMSV 32 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 15 35 0 19 Jan 2018
Sparsely Aggregated Convolutional Networks Ligeng Zhu Ruizhi Deng Michael Maire Zhiwei Deng Greg Mori P. Tan 3DPC 32 9 0 18 Jan 2018
FastNet John Olafenwa Moses Olafenwa 22 1 0 17 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift Xiang Li Shuo Chen Xiaolin Hu Jian Yang 39 309 0 16 Jan 2018
Non-Parametric Transformation Networks Dipan K. Pal Marios Savvides 24 7 0 14 Jan 2018
Spatially Transformed Adversarial Examples Chaowei Xiao Jun-Yan Zhu Yue Liu Warren He M. Liu D. Song AAML 26 519 0 08 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu D. Song GAN AAML 66 890 0 08 Jan 2018
Deep Stacked Networks with Residual Polishing for Image Inpainting Ugur Demir Gözde B. Ünal 29 8 0 31 Dec 2017
The CAPIO 2017 Conversational Speech Recognition System Kyu Jeong Han Akshay Chandrashekaran Jungsuk Kim Ian Lane 23 72 0 29 Dec 2017