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Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning Zhi Chen P. Ho 53 3 0 19 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 73 7 0 19 Jun 2018
Detecting and interpreting myocardial infarction using fully convolutional neural networks Nils Strodthoff C. Strodthoff 100 154 0 18 Jun 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks Jinghui Chen Dongruo Zhou Yiqi Tang Ziyan Yang Yuan Cao Quanquan Gu ODL 106 193 0 18 Jun 2018
Three dimensional Deep Learning approach for remote sensing image classification A. Ben Hamida A. Benoît P. Lambert C. Ben Amar 105 587 0 15 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma Alex Lamb Christopher Beckham Amir Najafi Ioannis Mitliagkas Aaron Courville David Lopez-Paz Yoshua Bengio AAML DRL 111 35 0 13 Jun 2018
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 302 483 0 12 Jun 2018
Full deep neural network training on a pruned weight budget Maximilian Golub G. Lemieux Mieszko Lis 87 28 0 11 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 111 144 0 11 Jun 2018
The Effect of Network Width on the Performance of Large-batch Training Lingjiao Chen Hongyi Wang Jinman Zhao Dimitris Papailiopoulos Paraschos Koutris 87 22 0 11 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized Models Mahdi M. Kalayeh M. Shah 70 43 0 07 Jun 2018
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex Hongyang R. Zhang Junru Shao Ruslan Salakhutdinov 109 14 0 06 Jun 2018
A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks Peter Hinz Sara van de Geer 67 23 0 05 Jun 2018
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification B. Hsueh Wei Li I-Chen Wu 32 23 0 05 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 60 117 0 04 Jun 2018
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation Jindong Jiang Lunan Zheng Fei Luo Zhijun Zhang 3DPC SSeg 113 217 0 04 Jun 2018
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization Kashyap Chitta 28 2 0 01 Jun 2018
Backpropagation for Implicit Spectral Densities Aditya A. Ramesh Yann LeCun 55 10 0 01 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD FedML ELM 213 415 0 01 Jun 2018
Tandem Blocks in Deep Convolutional Neural Networks Chris Hettinger Tanner Christensen J. Humpherys Tyler J. Jarvis 15 0 0 01 Jun 2018
Scaling provable adversarial defenses Eric Wong Frank R. Schmidt J. H. Metzen J. Zico Kolter AAML 105 450 0 31 May 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 96 52 0 28 May 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 113 607 0 28 May 2018
Understanding Generalization and Optimization Performance of Deep CNNs Pan Zhou Jiashi Feng MLT 124 50 0 28 May 2018
A Simple Riemannian Manifold Network for Image Set Classification Rui Wang Xiaojun Wu J. Kittler 32 3 0 27 May 2018
Multi-Task Zipping via Layer-wise Neuron Sharing Xiaoxi He Zimu Zhou Lothar Thiele MoMe 64 63 0 24 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 88 16 0 24 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 137 1,779 0 24 May 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks Andrea Zunino Sarah Adel Bargal Pietro Morerio Jianming Zhang Stan Sclaroff Vittorio Murino 38 25 0 23 May 2018
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets Narendra Patwardhan M. Ingalhalikar Rahee Walambe 32 7 0 22 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 81 27 0 21 May 2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise Zhonghui You Jinmian Ye Kunming Li Zenglin Xu Ping Wang 82 77 0 21 May 2018
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks Hyeonseob Nam Hyo-Eun Kim OOD 70 211 0 21 May 2018
Wavelet Convolutional Neural Networks S. Fujieda Kohei Takayama T. Hachisuka 68 129 0 20 May 2018
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces Liheng Zhang Marzieh Edraki Guo-Jun Qi 72 62 0 19 May 2018
Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate Haiwen Huang Changzhang Wang Bin Dong ODL 45 59 0 19 May 2018
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition Kuan Han Haiguang Wen Yizhen Zhang Di Fu Eugenio Culurciello Zhongming Liu 75 70 0 19 May 2018
Learning to Collaborate for User-Controlled Privacy Martín Bertrán Natalia Martínez Afroditi Papadaki Qiang Qiu M. Rodrigues Guillermo Sapiro 32 1 0 18 May 2018
Recurrent knowledge distillation S. Pintea Yue Liu Jan van Gemert ODL 21 2 0 18 May 2018
DNN or k-NN: That is the Generalize vs. Memorize Question Gilad Cohen Guillermo Sapiro Raja Giryes 71 38 0 17 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi Sanghoon Hong Kyungjae Lee Sungbin Lim OOD 47 8 0 16 May 2018
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes Tongfei Chen Jirí Navrátil Vijay Iyengar Karthikeyan Shanmugam 56 44 0 14 May 2018
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 88 1,037 0 12 May 2018
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation Naoya Takahashi Nabarun Goswami Yuki Mitsufuji 111 143 0 07 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 205 797 0 30 Apr 2018
SHADE: Information Based Regularization for Deep Learning Michael Blot Thomas Robert Nicolas Thome Matthieu Cord 68 12 0 29 Apr 2018
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation Sohil Shah P. Ghosh L. Davis Tom Goldstein SSeg 91 56 0 27 Apr 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 240 503 0 24 Apr 2018
A New Channel Boosted Convolutional Neural Network using Transfer Learning Asifullah Khan A. Sohail Amna Ali 64 41 0 23 Apr 2018
Decorrelated Batch Normalization Lei Huang Dawei Yang B. Lang Jia Deng 75 193 0 23 Apr 2018