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1605.07146
Cited By
Wide Residual Networks
23 May 2016
Sergey Zagoruyko
N. Komodakis
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Papers citing
"Wide Residual Networks"
50 / 4,117 papers shown
Title
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Minkyu Kim
Heungseok Park
Ernar Kusdavletov
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Ji-Hoon Kim
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Nako Sung
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0
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NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
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Ian Whalen
Vishnu Boddeti
Yashesh D. Dhebar
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SNIP: Single-shot Network Pruning based on Connection Sensitivity
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Thalaiyasingam Ajanthan
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Progressive Feature Fusion Network for Realistic Image Dehazing
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Aiwen Jiang
Juncheng Li
Mingwen Wang
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Gradient Descent Provably Optimizes Over-parameterized Neural Networks
S. Du
Xiyu Zhai
Barnabás Póczós
Aarti Singh
MLT
ODL
65
1,254
0
04 Oct 2018
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Mingjie Wang
Jun Zhou
Wendong Mao
Minglun Gong
27
9
0
02 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
33
49
0
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Large batch size training of neural networks with adversarial training and second-order information
Z. Yao
A. Gholami
Daiyaan Arfeen
Richard Liaw
Joseph E. Gonzalez
Kurt Keutzer
Michael W. Mahoney
ODL
27
42
0
02 Oct 2018
Dynamic Sparse Graph for Efficient Deep Learning
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Lei Deng
Xing Hu
Maohua Zhu
Guoqi Li
Yufei Ding
Yuan Xie
GNN
40
42
0
01 Oct 2018
Privado: Practical and Secure DNN Inference with Enclaves
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Shruti Tople
Shweta Shinde
Ranjita Bhagwan
Ramachandran Ramjee
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46
0
01 Oct 2018
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
S. H. Shabbeer Basha
Soumen Ghosh
Kancharagunta Kishan Babu
S. Dubey
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55
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30 Sep 2018
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
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Boyuan Feng
Lingwei Xie
Yufei Ding
39
11
0
28 Sep 2018
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences
Seonguk Seo
Paul Hongsuck Seo
Bohyung Han
FedML
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18
75
0
28 Sep 2018
On the loss landscape of a class of deep neural networks with no bad local valleys
Quynh N. Nguyen
Mahesh Chandra Mukkamala
Matthias Hein
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Compressing the Input for CNNs with the First-Order Scattering Transform
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Eugene Belilovsky
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An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping
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Deblin Bagchi
Eric Fosler-Lussier
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10
0
25 Sep 2018
Identifying Generalization Properties in Neural Networks
Huan Wang
N. Keskar
Caiming Xiong
R. Socher
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19 Sep 2018
Removing the Feature Correlation Effect of Multiplicative Noise
Zijun Zhang
Yining Zhang
Zongpeng Li
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19 Sep 2018
Scattering Networks for Hybrid Representation Learning
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Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
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17 Sep 2018
Network Recasting: A Universal Method for Network Architecture Transformation
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Sungbum Kang
Kiyoung Choi
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MotherNets: Rapid Deep Ensemble Learning
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Yuze Liao
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12 Sep 2018
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
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Issei Sato
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Probabilistic Binary Neural Networks
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Max Welling
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MQ
30
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10 Sep 2018
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution
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S. Kiranyaz
Moncef Gabbouj
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Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
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Jean Ogier du Terrail
F. Jurie
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Certified Adversarial Robustness with Additive Noise
Bai Li
Changyou Chen
Wenlin Wang
Lawrence Carin
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28
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Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
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Liang Zheng
Yi Yang
Zhilan Hu
AAML
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07 Sep 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
Wenchi Ma
Yuanwei Wu
Zongbo Wang
Guanghui Wang
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06 Sep 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas
Nataraj Jammalamadaka
Xia Zhu
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Xinrui Hua
Xianda Zhou
Christian G. Claudel
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SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation
Xinyi Wang
Hieu H. Pham
Zihang Dai
Graham Neubig
29
195
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22 Aug 2018
Don't Use Large Mini-Batches, Use Local SGD
Tao R. Lin
Sebastian U. Stich
Kumar Kshitij Patel
Martin Jaggi
62
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Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
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Yi Yang
48
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22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
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Yanwei Fu
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Deep Convolutional Networks as shallow Gaussian Processes
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BlockQNN: Efficient Block-wise Neural Network Architecture Generation
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Zichen Yang
Boyang Deng
Junjie Yan
Wei Wu
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Metric Learning for Novelty and Anomaly Detection
Marc Masana
Idoia Ruiz
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OODD
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Hierarchical binary CNNs for landmark localization with limited resources
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CVBM
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Fast, Better Training Trick -- Random Gradient
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ODL
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Neural Network Encapsulation
Hongyang Li
Xiaoyang Guo
Bo Dai
Wanli Ouyang
Xiaogang Wang
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Backprop Evolution
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Irwan Bello
Barret Zoph
Pieter-Jan Kindermans
Prajit Ramachandran
Quoc V. Le
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Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
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42
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Gray-box Adversarial Training
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Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition
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Shrikanth S. Narayanan
19
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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
23
3
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Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization
Hongyu Guo
Yongyi Mao
Ali Al-Bashabsheh
Richong Zhang
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4
0
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Unbounded Output Networks for Classification
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E. Uchibe
Kenji Doya
30
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Self-Paced Learning with Adaptive Deep Visual Embeddings
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Graham W. Taylor
3DH
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23
6
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24 Jul 2018
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