v1v2v3v4 (latest)

Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Removing the Feature Correlation Effect of Multiplicative Noise Zijun Zhang Yining Zhang Zongpeng Li 66 8 0 19 Sep 2018
Scattering Networks for Hybrid Representation Learning Edouard Oyallon Sergey Zagoruyko Gabriel Huang N. Komodakis Simon Lacoste-Julien Matthew Blaschko Eugene Belilovsky 66 86 0 17 Sep 2018
Network Recasting: A Universal Method for Network Architecture Transformation Joonsang Yu Sungbum Kang Kiyoung Choi 33 1 0 14 Sep 2018
MotherNets: Rapid Deep Ensemble Learning Abdul Wasay Brian Hentschel Yuze Liao Sanyuan Chen Stratos Idreos 58 35 0 12 Sep 2018
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions Yusuke Tsuzuku Issei Sato AAML 84 62 0 11 Sep 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 80 52 0 10 Sep 2018
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution Honglei Zhang S. Kiranyaz Moncef Gabbouj 41 21 0 10 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 158 125 0 10 Sep 2018
Certified Adversarial Robustness with Additive Noise Bai Li Changyou Chen Wenlin Wang Lawrence Carin AAML 119 350 0 10 Sep 2018
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval Zhedong Zheng Liang Zheng Yi Yang Zhilan Hu AAML 75 24 0 07 Sep 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection Wenchi Ma Yuanwei Wu Zongbo Wang Guanghui Wang ObjD 73 25 0 06 Sep 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 94 247 0 04 Sep 2018
IEA: Inner Ensemble Average within a convolutional neural network Abduallah A. Mohamed Xinrui Hua Xianda Zhou Christian G. Claudel 23 1 0 30 Aug 2018
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation Xinyi Wang Hieu H. Pham Zihang Dai Graham Neubig 85 198 0 22 Aug 2018
Don't Use Large Mini-Batches, Use Local SGD Tao R. Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi 125 432 0 22 Aug 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Yang He Xuanyi Dong Guoliang Kang Yanwei Fu C. Yan Yi Yang 118 135 0 22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 101 969 0 21 Aug 2018
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso C. Rasmussen Laurence Aitchison BDL UQCV 116 271 0 16 Aug 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation Zhaobai Zhong Zichen Yang Boyang Deng Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 82 118 0 16 Aug 2018
Metric Learning for Novelty and Anomaly Detection Marc Masana Idoia Ruiz J. Serrat Joost van de Weijer Antonio M. López OODD 87 81 0 16 Aug 2018
Hierarchical binary CNNs for landmark localization with limited resources Adrian Bulat Georgios Tzimiropoulos CVBM 3DV 61 36 0 14 Aug 2018
Fast, Better Training Trick -- Random Gradient Jiakai Wei ODL 23 2 0 13 Aug 2018
Neural Network Encapsulation Hongyang Li Xiaoyang Guo Bo Dai Wanli Ouyang Xiaogang Wang 62 51 0 11 Aug 2018
Backprop Evolution Maximilian Alber Irwan Bello Barret Zoph Pieter-Jan Kindermans Prajit Ramachandran Quoc V. Le 44 9 0 08 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 84 13 0 08 Aug 2018
Gray-box Adversarial Training S. VivekB. Konda Reddy Mopuri R. Venkatesh Babu AAML 61 35 0 06 Aug 2018
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition Che-Wei Huang Shrikanth S. Narayanan 50 2 0 02 Aug 2018
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient T. Wanger Peter Frohn 25 3 0 30 Jul 2018
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization Hongyu Guo Yongyi Mao Ali Al-Bashabsheh Richong Zhang MQ 70 4 0 26 Jul 2018
Unbounded Output Networks for Classification Stefan Elfwing E. Uchibe Kenji Doya 36 0 0 25 Jul 2018
Self-Paced Learning with Adaptive Deep Visual Embeddings Vithursan Thangarasa Graham W. Taylor 3DH SSL 50 6 0 24 Jul 2018
Competitive Inner-Imaging Squeeze and Excitation for Residual Network Yang Hu Guihua Wen Mingnan Luo Dan Dai Jiajiong Ma Zhiwen Yu 99 46 0 24 Jul 2018
Supporting Very Large Models using Automatic Dataflow Graph Partitioning Minjie Wang Chien-chin Huang Jinyang Li 120 155 0 24 Jul 2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M. Veta Y. Heng N. Stathonikos B. Bejnordi F. Beca ... E. Chang Yan Xu Andrew H. Beck P. Diest J. Pluim 95 264 0 22 Jul 2018
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN Andrey V. Savchenko CVBM 71 75 0 20 Jul 2018
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery Pau Rodríguez López J. M. Gonfaus Guillem Cucurull F. X. Roca Jordi Gonzalez 66 38 0 19 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 80 161 0 18 Jul 2018
Icing on the Cake: An Easy and Quick Post-Learnig Method You Can Try After Deep Learning Tomohiko Konno M. Iwazume 56 16 0 17 Jul 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 237 16,756 0 17 Jul 2018
BAM: Bottleneck Attention Module Jongchan Park Sanghyun Woo Joon-Young Lee In So Kweon 85 1,048 0 17 Jul 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN) Jungwook Choi P. Chuang Zhuo Wang Swagath Venkataramani Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 73 76 0 17 Jul 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 173 1,375 0 16 Jul 2018
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs Linpeng Tang Yida Wang Theodore L. Willke Kai Li GNN 101 22 0 16 Jul 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition Chun-Fu Chen Quanfu Fan Neil Rohit Mallinar Tom Sercu Rogerio Feris 78 97 0 10 Jul 2018
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification Yuexiang Li Xinpeng Xie LinLin Shen Shaoxiong Liu MedIm 24 4 0 06 Jul 2018
Parallel Convolutional Networks for Image Recognition via a Discriminator Shiqi Yang G. Peng 24 3 0 06 Jul 2018
Uncertainty in the Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon 68 100 0 02 Jul 2018
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification Xinhan Di Pengqian Yu Meng Tian AAML 20 3 0 01 Jul 2018
Deep $k$ -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu Yue Wang Zhenyu Wu Zhangyang Wang Ashok Veeraraghavan Yingyan Lin 87 115 0 24 Jun 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning R. Y. Rohekar Shami Nisimov Yaniv Gurwicz G. Koren Gal Novik BDL 130 26 0 24 Jun 2018