Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown

Title
Competitive Inner-Imaging Squeeze and Excitation for Residual Network Yang Hu Guihua Wen Mingnan Luo Dan Dai Jiajiong Ma Zhiwen Yu 45 46 0 24 Jul 2018
Supporting Very Large Models using Automatic Dataflow Graph Partitioning Minjie Wang Chien-chin Huang Jinyang Li 49 154 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 22 261 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 24 73 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 22 38 0 19 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 35 159 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 27 16 0 17 Jul 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 118 16,217 0 17 Jul 2018
BAM: Bottleneck Attention Module Jongchan Park Sanghyun Woo Joon-Young Lee In So Kweon 30 1,026 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 19 75 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 8 1,363 0 16 Jul 2018
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs Linpeng Tang Yida Wang Theodore L. Willke Kai Li GNN 21 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 20 96 0 10 Jul 2018
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification Yuexiang Li Xinpeng Xie LinLin Shen Shaoxiong Liu MedIm 17 4 0 06 Jul 2018
Parallel Convolutional Networks for Image Recognition via a Discriminator Shiqi Yang G. Peng 20 3 0 06 Jul 2018
Uncertainty in the Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon 23 97 0 02 Jul 2018
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification Xinhan Di Pengqian Yu Meng Tian AAML 13 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 15 115 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 31 26 0 24 Jun 2018
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning Zhi Chen P. Ho 22 3 0 19 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 20 7 0 19 Jun 2018
Detecting and interpreting myocardial infarction using fully convolutional neural networks Nils Strodthoff C. Strodthoff 43 151 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 19 193 0 18 Jun 2018
Three dimensional Deep Learning approach for remote sensing image classification A. Ben Hamida A. Benoît P. Lambert C. Ben Amar 48 569 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 25 34 0 13 Jun 2018
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 212 474 0 12 Jun 2018
Full deep neural network training on a pruned weight budget Maximilian Golub G. Lemieux Mieszko Lis 33 28 0 11 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 32 141 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 29 22 0 11 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized Models Mahdi M. Kalayeh M. Shah 27 42 0 07 Jun 2018
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex Hongyang R. Zhang Junru Shao Ruslan Salakhutdinov 41 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 27 23 0 05 Jun 2018
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification B. Hsueh Wei Li I-Chen Wu 13 22 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 13 117 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 19 212 0 04 Jun 2018
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization Kashyap Chitta 22 2 0 01 Jun 2018
Backpropagation for Implicit Spectral Densities Aditya A. Ramesh Yann LeCun 16 10 0 01 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD FedML ELM 39 405 0 01 Jun 2018
Tandem Blocks in Deep Convolutional Neural Networks Chris Hettinger Tanner Christensen J. Humpherys Tyler J. Jarvis 13 0 0 01 Jun 2018
Scaling provable adversarial defenses Eric Wong Frank R. Schmidt J. H. Metzen J. Zico Kolter AAML 25 446 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 25 51 0 28 May 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 44 601 0 28 May 2018
Understanding Generalization and Optimization Performance of Deep CNNs Pan Zhou Jiashi Feng MLT 33 48 0 28 May 2018
A Simple Riemannian Manifold Network for Image Set Classification Rui Wang Xiaojun Wu J. Kittler 23 3 0 27 May 2018
Multi-Task Zipping via Layer-wise Neuron Sharing Xiaoxi He Zimu Zhou Lothar Thiele MoMe 8 61 0 24 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 24 16 0 24 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 63 1,759 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 21 23 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 6 6 0 22 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 36 26 0 21 May 2018