Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,122 papers shown

Title
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems Tianyu Du S. Ji Jinfeng Li Qinchen Gu Ting Wang R. Beyah AAML 31 128 0 23 Jan 2019
Understanding the Impact of Label Granularity on CNN-based Image Classification Zhuo Chen Ruizhou Ding Ting-Wu Chin Diana Marculescu 11 35 0 21 Jan 2019
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification S. H. Shabbeer Basha S. Dubey Viswanath Pulabaigari Snehasis Mukherjee OOD 14 395 0 21 Jan 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 0 20 Jan 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 77 2,276 0 17 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 111 2,239 0 16 Jan 2019
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis Yusuke Tsuzuku Issei Sato Masashi Sugiyama 35 75 0 15 Jan 2019
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction Shuyang Sun Jiangmiao Pang Jianping Shi Shuai Yi Wanli Ouyang 30 100 0 11 Jan 2019
Context Aware Machine Learning Yun Zeng 24 3 0 10 Jan 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu Liang-Chieh Chen Florian Schroff Hartwig Adam Wei Hua Alan Yuille Li Fei-Fei SSeg 32 975 0 10 Jan 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks Zelda E. Mariet Yaniv Ovadia Jasper Snoek 42 10 0 07 Jan 2019
Deep Speech Enhancement for Reverberated and Noisy Signals using Wide Residual Networks D. González Jorge Llombart A. Miguel Luis Vicente 19 15 0 03 Jan 2019
Gated-Dilated Networks for Lung Nodule Classification in CT scans M. Al-Shabi H. Lee Maxine Tan MedIm 27 46 0 01 Jan 2019
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm Charbel Sakr Naresh R Shanbhag MQ 25 43 0 31 Dec 2018
Soft Autoencoder and Its Wavelet Adaptation Interpretation Fenglei Fan Mengzhou Li Yueyang Teng Ge Wang 24 3 0 31 Dec 2018
Cascaded V-Net using ROI masks for brain tumor segmentation Adrià Casamitjana Hugo J. Kuijf Bjoern Menze M. Reyes Verónica Vilaplana 22 196 0 30 Dec 2018
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 22 180 0 29 Dec 2018
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks G. B. Hacene Vincent Gripon M. Arzel Nicolas Farrugia Yoshua Bengio MQ 6 14 0 29 Dec 2018
SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization Dan Wang Mengqi Ji Yong Wang Haoqian Wang Lu Fang 17 3 0 29 Dec 2018
Exploring Weight Symmetry in Deep Neural Networks S. Hu Sergey Zagoruyko N. Komodakis 21 33 0 28 Dec 2018
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi XAI FAtt 32 399 0 25 Dec 2018
Leveraging Class Similarity to Improve Deep Neural Network Robustness P. Negi David M. Chan Mohammad H. Mahoor 11 2 0 23 Dec 2018
Meta Architecture Search Albert Eaton Shaw Wei Wei Weiyang Liu Le Song Bo Dai BDL 23 35 0 22 Dec 2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 29 63 0 20 Dec 2018
On Lazy Training in Differentiable Programming Lénaïc Chizat Edouard Oyallon Francis R. Bach 58 813 0 19 Dec 2018
Convolutional herbal prescription building method from multi-scale facial features Huiqiang Liao Guihua Wen Yang Hu Changjun Wang CVBM MedIm 25 10 0 17 Dec 2018
Attending Category Disentangled Global Context for Image Classification Keke Tang Guodong Wei Runnan Chen Jie Zhu Zhaoquan Gu Wenping Wang 17 0 0 17 Dec 2018
Trust Region Based Adversarial Attack on Neural Networks Z. Yao A. Gholami Peng Xu Kurt Keutzer Michael W. Mahoney AAML 21 54 0 16 Dec 2018
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets Hong-Yu Zhou Avital Oliver Jianxin Wu Yefeng Zheng 24 22 0 13 Dec 2018
IRLAS: Inverse Reinforcement Learning for Architecture Search Minghao Guo Zhaobai Zhong Wei Wu Dahua Lin Junjie Yan 3DV 47 37 0 13 Dec 2018
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 61 719 0 12 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,460 0 11 Dec 2018
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning Aaron Defazio Léon Bottou UQCV DRL 28 112 0 11 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 73 658 0 10 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 23 7 0 07 Dec 2018
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search Kevin Laube A. Zell UQCV 22 10 0 07 Dec 2018
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 32 270 0 06 Dec 2018
Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu Yuxi Li Shuai Zhang W. Wen Botao Wang Y. Qi Yiran Chen Weiyao Lin H. Xiong AAML 28 42 0 06 Dec 2018
Teacher-Student Compression with Generative Adversarial Networks Ruishan Liu Nicolò Fusi Lester W. Mackey 12 17 0 05 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples Huangyi Ge Sze Yiu Chau Bruno Ribeiro Ninghui Li AAML 27 1 0 05 Dec 2018
Parameter Re-Initialization through Cyclical Batch Size Schedules Norman Mu Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 35 8 0 04 Dec 2018
Deep Cosine Metric Learning for Person Re-Identification N. Wojke Alex Bewley 80 351 0 02 Dec 2018
Stochastic Training of Residual Networks: a Differential Equation Viewpoint Qi Sun Yunzhe Tao Q. Du 23 23 0 01 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang Lingxi Xie Chi Su Alan Yuille 18 193 0 01 Dec 2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation Jiaxin Gu Ce Li Baochang Zhang Jiawei Han Xianbin Cao Jianzhuang Liu David Doermann 3DV 176 86 0 30 Nov 2018
Virtual Class Enhanced Discriminative Embedding Learning Binghui Chen Weihong Deng Haifeng Shen 17 45 0 30 Nov 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 27 189 0 27 Nov 2018
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies Bao Wang Binjie Yuan Zuoqiang Shi Stanley J. Osher AAML OOD 16 15 0 26 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 32 118 0 26 Nov 2018