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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks Sungha Choi J. Kim Jaegul Choo SSeg 197 156 0 11 Mar 2020
Using an ensemble color space model to tackle adversarial examples Shreyank N. Gowda C. Yuan AAML 30 1 0 10 Mar 2020
Diversity inducing Information Bottleneck in Model Ensembles Samarth Sinha Homanga Bharadhwaj Anirudh Goyal Hugo Larochelle Animesh Garg Florian Shkurti BDL UQCV 67 40 0 10 Mar 2020
Knowledge distillation via adaptive instance normalization Jing Yang Brais Martínez Adrian Bulat Georgios Tzimiropoulos 63 24 0 09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 73 196 0 09 Mar 2020
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network Wonchul Son Youngbin Kim Wonseok Song Youngsuk Moon Wonjun Hwang 23 0 0 09 Mar 2020
$Π-$ nets: Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Yannis Panagakis Jiankang Deng Stefanos Zafeiriou 85 61 0 08 Mar 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 92 110 0 08 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search Haoyu Zhang Yaochu Jin Ran Cheng K. Hao 67 9 0 07 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training Bai Li Shiqi Wang Yunhan Jia Yantao Lu Zhenyu Zhong Lawrence Carin Suman Jana AAML 142 14 0 06 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 252 119 0 05 Mar 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 145 26 0 05 Mar 2020
The large learning rate phase of deep learning: the catapult mechanism Aitor Lewkowycz Yasaman Bahri Ethan Dyer Jascha Narain Sohl-Dickstein Guy Gur-Ari ODL 224 241 0 04 Mar 2020
Deep Learning in Memristive Nanowire Networks Jack D. Kendall Ross D. Pantone J. Nino 21 2 0 03 Mar 2020
BATS: Binary ArchitecTure Search Adrian Bulat Brais Martínez Georgios Tzimiropoulos MQ 97 68 0 03 Mar 2020
Curriculum By Smoothing Samarth Sinha Animesh Garg Hugo Larochelle 105 7 0 03 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 129 67 0 02 Mar 2020
Flashlight CNN Image Denoising Pham Huu Thanh Binh Cristóvão Cruz K. Egiazarian 25 6 0 02 Mar 2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle D. Schwab Ari S. Morcos 115 143 0 29 Feb 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu Zhouxing Shi Huan Zhang Yihan Wang Kai-Wei Chang Minlie Huang B. Kailkhura Xinyu Lin Cho-Jui Hsieh AAML 64 12 0 28 Feb 2020
An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation M. Takamoto Yusuke Morishita Hitoshi Imaoka 57 33 0 28 Feb 2020
Utilizing Network Properties to Detect Erroneous Inputs Matt Gorbett Nathaniel Blanchard AAML 67 6 0 28 Feb 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 116 118 0 27 Feb 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 165 811 0 26 Feb 2020
Randomization matters. How to defend against strong adversarial attacks Rafael Pinot Raphael Ettedgui Geovani Rizk Y. Chevaleyre Jamal Atif AAML 130 60 0 26 Feb 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 157 579 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 62 406 0 26 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 56 137 0 25 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 138 324 0 25 Feb 2020
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs Lei Huang Jie Qin Li Liu Fan Zhu Ling Shao AI4CE 86 11 0 25 Feb 2020
Learning Queuing Networks by Recurrent Neural Networks G. Garbi Emilio Incerto M. Tribastone 10 16 0 25 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 104 229 0 25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma VLM 68 20 0 25 Feb 2020
HYDRA: Pruning Adversarially Robust Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 69 25 0 24 Feb 2020
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks Soham De Samuel L. Smith ODL 106 20 0 24 Feb 2020
The Early Phase of Neural Network Training Jonathan Frankle D. Schwab Ari S. Morcos 98 174 0 24 Feb 2020
Self-Adaptive Training: beyond Empirical Risk Minimization Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 97 205 0 24 Feb 2020
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling Setareh Ariafar Zelda E. Mariet Ehsan Elhamifar Dana Brooks Jennifer Dy Jasper Snoek 58 3 0 23 Feb 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks J. Breier Dirmanto Jap Xiaolu Hou S. Bhasin Yang Liu 75 53 0 23 Feb 2020
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization Darvin Yi E. Grøvik Michael Iv E. Tong Greg Zaharchuk D. Rubin 48 2 0 23 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 90 63 0 22 Feb 2020
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 84 69 0 21 Feb 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 98 468 0 21 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 112 85 0 21 Feb 2020
Parallel and distributed asynchronous adaptive stochastic gradient methods Yangyang Xu Yibo Xu Yonggui Yan Colin Sutcher-Shepard Leopold Grinberg Jiewei Chen 42 2 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Zhaolin Ren Mao Ye Qiang Liu AAML 77 56 0 20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 98 165 0 20 Feb 2020
Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang Xiao Yang Yinpeng Dong Kun Xu Jun Zhu Hang Su AAML 89 156 0 20 Feb 2020
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows G. Yoo H. Owhadi 74 21 0 19 Feb 2020
Dissecting Neural ODEs Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama 133 204 0 19 Feb 2020