Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,121 papers shown

Title
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments Abdul Dakkak Cheng-rong Li Simon Garcia De Gonzalo Jinjun Xiong Wen-mei W. Hwu 21 19 0 24 Nov 2018
Automatic lesion boundary detection in dermoscopy Glib Kechyn MedIm 26 2 0 23 Nov 2018
Robustness via curvature regularization, and vice versa Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi J. Uesato P. Frossard AAML 29 318 0 23 Nov 2018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses Jérôme Rony L. G. Hafemann Luiz Eduardo Soares de Oliveira Ismail Ben Ayed R. Sabourin Eric Granger AAML 15 298 0 23 Nov 2018
Structured Pruning of Neural Networks with Budget-Aware Regularization Carl Lemaire Andrew Achkar Pierre-Marc Jodoin 29 92 0 23 Nov 2018
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles Edward Grefenstette Robert Stanforth Brendan O'Donoghue J. Uesato G. Swirszcz Pushmeet Kohli AAML 36 18 0 22 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 28 326 0 22 Nov 2018
Pneumonia Detection in Chest Radiographs The DeepRadiology Team 14 18 0 21 Nov 2018
Single-Label Multi-Class Image Classification by Deep Logistic Regression Qi Dong Xiatian Zhu S. Gong 31 33 0 20 Nov 2018
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples Hajime Ono Tsubasa Takahashi Kazuya Kakizaki AAML 16 4 0 20 Nov 2018
Self-Referenced Deep Learning Xu Lan Xiatian Zhu S. Gong 35 23 0 19 Nov 2018
Deep Frank-Wolfe For Neural Network Optimization Leonard Berrada Andrew Zisserman M. P. Kumar ODL 21 40 0 19 Nov 2018
Deep Active Learning with a Neural Architecture Search Yonatan Geifman Ran El-Yaniv AI4CE 22 44 0 19 Nov 2018
A Variational Dirichlet Framework for Out-of-Distribution Detection Wenhu Chen Yilin Shen Xin Eric Wang Wenjie Wang UQCV 30 9 0 18 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans T. Ho-Phuoc 19 41 0 18 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution Van-Thanh Hoang K. Jo 24 3 0 17 Nov 2018
Residual Convolutional Neural Network Revisited with Active Weighted Mapping HyoungHo Jung Ryong Lee Sanghwan Lee Wonjun Hwang 6 5 0 16 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector Chen Du Chunheng Wang Yanna Wang Cunzhao Shi Baihua Xiao 30 42 0 15 Nov 2018
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization Senwei Liang Y. Khoo Haizhao Yang AI4CE 14 1 0 14 Nov 2018
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 30 318 0 13 Nov 2018
Learning data augmentation policies using augmented random search Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang 27 9 0 12 Nov 2018
Integrating Multiple Receptive Fields through Grouped Active Convolution Yunho Jeon Junmo Kim 33 3 0 11 Nov 2018
A Convergence Theory for Deep Learning via Over-Parameterization Zeyuan Allen-Zhu Yuanzhi Li Zhao Song AI4CE ODL 77 1,450 0 09 Nov 2018
Skeptical Deep Learning with Distribution Correction Mingxiao An Yongzhou Chen Qi Liu Chuanren Liu Guangyi Lv Fangzhao Wu Jianhui Ma NoLa 15 0 0 09 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du Jason D. Lee Haochuan Li Liwei Wang Masayoshi Tomizuka ODL 46 1,127 0 09 Nov 2018
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons Byeongho Heo Minsik Lee Sangdoo Yun J. Choi 11 517 0 08 Nov 2018
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks Gautam Bhattacharya Ashutosh Adhikari Md. Jahangir Alam 20 33 0 07 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou Mohsen Guizani AAML 27 23 0 06 Nov 2018
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond Krishna Kumar Singh Shibani Santurkar Aron Sarmasi Aleksander Madry Yong Jae Lee 19 95 0 06 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
Radius-margin bounds for deep neural networks Mayank Sharma Jayadeva Jayadeva Sumit Soman AAML 21 1 0 03 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 50 620 0 02 Nov 2018
Stochastic Normalizations as Bayesian Learning Alexander Shekhovtsov B. Flach UQCV BDL 17 15 0 01 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 36 1,040 0 01 Nov 2018
Acute and sub-acute stroke lesion segmentation from multimodal MRI Albert Clérigues Sergi Valverde J. Bernal J. Freixenet A. Oliver Xavier Llado 35 6 0 31 Oct 2018
Learning Better Internal Structure of Words for Sequence Labeling Yingwei Xin Ethan Hart Vibhuti Mahajan Jean-David Ruvini SSL NAI 19 37 0 29 Oct 2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks Jie Hu Li Shen Samuel Albanie Gang Sun Andrea Vedaldi 23 573 0 29 Oct 2018
Three Mechanisms of Weight Decay Regularization Guodong Zhang Chaoqi Wang Bowen Xu Roger C. Grosse 33 256 0 29 Oct 2018
Learning to Teach with Dynamic Loss Functions Lijun Wu Fei Tian Yingce Xia Yang Fan Tao Qin Jianhuang Lai Tie-Yan Liu 33 112 0 29 Oct 2018
Learning with Bad Training Data via Iterative Trimmed Loss Minimization Yanyao Shen Sujay Sanghavi FedML 22 4 0 28 Oct 2018
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks A. Mozafari H. Gomes Wilson Leão Steeven Janny Christian Gagné 26 26 0 27 Oct 2018
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses Mohammad J. Hashemi Greg Cusack Eric Keller AAML SILM 13 8 0 23 Oct 2018
DropFilter: Dropout for Convolutions Zhengsu Chen 9 4 0 23 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 22 188 0 22 Oct 2018
A Modern Take on the Bias-Variance Tradeoff in Neural Networks Brady Neal Sarthak Mittal A. Baratin Vinayak Tantia Matthew Scicluna Simon Lacoste-Julien Ioannis Mitliagkas 39 167 0 19 Oct 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu Jiechao Guan Aoxue Li Tao Xiang An Zhao Ji-Rong Wen 28 64 0 19 Oct 2018
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning Aoxue Li Zhiwu Lu Jiechao Guan Tao Xiang Liwei Wang Ji-Rong Wen VLM 22 20 0 19 Oct 2018
Sequenced-Replacement Sampling for Deep Learning C. Ho Dae Hoon Park Wei Yang Yi Chang 24 0 0 19 Oct 2018
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction Bolun Zheng Rui Sun Xiang Tian Yao-wu Chen 30 21 0 18 Oct 2018
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking Yigitcan Kaya Sanghyun Hong Tudor Dumitras 14 4 0 16 Oct 2018