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Identity Mappings in Deep Residual Networks

16 March 2016

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Papers citing "Identity Mappings in Deep Residual Networks"

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Title
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training Lucas Pascal Xavier Bost B. Huet 20 2 0 13 Sep 2019
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Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling Wojciech Masarczyk P. Głomb B. Grabowski M. Ostaszewski 28 3 0 12 Sep 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations Vishnu Suresh Lokhande Songwong Tasneeyapant Abhay Venkatesh Sathya Ravi Vikas Singh 90 29 0 12 Sep 2019
Structural Robustness for Deep Learning Architectures Carlos Lassance Vincent Gripon Jian Tang Antonio Ortega OOD 70 2 0 11 Sep 2019
Towards Understanding the Importance of Shortcut Connections in Residual Networks Tianyi Liu Minshuo Chen Mo Zhou S. Du Enlu Zhou T. Zhao 49 45 0 10 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Shuang Gao Xin Liu Lung-Sheng Chien William Zhang J. Álvarez VLM 3DPC 63 15 0 10 Sep 2019
Adversarial Robustness Against the Union of Multiple Perturbation Models Pratyush Maini Eric Wong J. Zico Kolter OOD AAML 65 151 0 09 Sep 2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution Wenming Yang Xuechen Zhang Yapeng Tian Wei Wang Jing-Hao Xue Q. Liao 78 16 0 09 Sep 2019
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Differential Equation Units: Learning Functional Forms of Activation Functions from Data MohamadAli Torkamani Shiv Shankar Pedram Rooshenas Phillip Wallis 26 2 0 06 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 136 584 0 06 Sep 2019
Receptive-field-regularized CNN variants for acoustic scene classification Khaled Koutini Hamid Eghbalzadeh Gerhard Widmer 119 30 0 05 Sep 2019
Rethinking the Number of Channels for the Convolutional Neural Network Hui Zhu Zhulin An Chuanguang Yang Xiaolong Hu Kaiqiang Xu Yongjun Xu OOD 38 3 0 04 Sep 2019
Self-Supervised Deep Depth Denoising V. Sterzentsenko Leonidas Saroglou Anargyros Chatzitofis Spyridon Thermos N. Zioulis Alexandros Doumanoglou D. Zarpalas P. Daras 45 43 0 03 Sep 2019
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block Guoqing Li Meng Zhang Qianru Zhang Ziyang Chen Wenzhao Liu Jiaojie Li Xuzhao Shen Jian Li Zhenyu Zhu Chau Yuen 73 5 0 03 Sep 2019
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge Gianmarco Santini Noémie Moreau M. Rubeaux 21 31 0 02 Sep 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 60 43 0 27 Aug 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels Felix J. S. Bragman Ryutaro Tanno Sebastien Ourselin Daniel C. Alexander M. Jorge Cardoso 73 87 0 26 Aug 2019
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images Junbang Liang Ming Lin 3DH 56 84 0 26 Aug 2019
Demystifying the MLPerf Benchmark Suite Snehil Verma Qinzhe Wu Bagus Hanindhito Gunjan Jha E. John R. Radhakrishnan L. John VLM 67 8 0 24 Aug 2019
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks Juan Maroñas Roberto Paredes Palacios D. Ramos-Castro UQCV BDL 102 24 0 23 Aug 2019
Spiking Neural Predictive Coding for Continual Learning from Data Streams Alexander Ororbia 89 28 0 23 Aug 2019
LEAP nets for power grid perturbations Benjamin Donnot Balthazar Donon Isabelle M Guyon Zhengying Liu Antoine Marot P. Panciatici Marc Schoenauer 43 11 0 22 Aug 2019
Dynamic Scheduling of MPI-based Distributed Deep Learning Training Jobs Tim Capes Vishal Raheja Mete Kemertas Iqbal Mohomed AI4CE 25 3 0 21 Aug 2019
Efficient Deep Neural Networks Bichen Wu 61 12 0 20 Aug 2019
Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image Roman Klokov Jakob Verbeek Edmond Boyer 3DV 61 14 0 20 Aug 2019
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution Mohammad Saeed Rad Behzad Bozorgtabar Urs-Viktor Marti Max Basler H. K. Ekenel Jean-Philippe Thiran SupR 66 123 0 20 Aug 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 74 306 0 19 Aug 2019
Neural Architecture Search by Estimation of Network Structure Distributions A. Muravev Jenni Raitoharju Moncef Gabbouj OOD 20 1 0 19 Aug 2019
Adaptative Inference Cost With Convolutional Neural Mixture Models Adria Ruiz Jakob Verbeek VLM 65 22 0 19 Aug 2019
Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data Johannes Czech Moritz Willig Alena Beyer Kristian Kersting Johannes Furnkranz 55 17 0 19 Aug 2019
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NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 63 277 0 19 Aug 2019
Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation Shengju Qian K. Sun Wayne Wu Chen Qian Jiaya Jia 3DH CVBM 80 66 0 18 Aug 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 151 578 0 17 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images Nick Pawlowski Suvrat Bhooshan Nicolas Ballas F. Ciompi Ben Glocker M. Drozdzal 86 23 0 16 Aug 2019
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network Wenhai Wang Enze Xie Xiaoge Song Yuhang Zang Wenjia Wang Tong Lu Gang Yu Chunhua Shen 82 420 0 16 Aug 2019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks Zhaoyang Zhang Jingyu Li Wenqi Shao Zhanglin Peng Ruimao Zhang Xiaogang Wang Ping Luo 100 37 0 16 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 68 33 0 15 Aug 2019
Improved Mix-up with KL-Entropy for Learning From Noisy Labels Qian Zhang Feifei Lee Ya-Gang Wang Qiu Chen NoLa 21 0 0 15 Aug 2019
Adaptive Regularization of Labels Qianggang Ding Sifan Wu Hao Sun Jiadong Guo Shutao Xia ODL 60 29 0 15 Aug 2019
FaSTExt: Fast and Small Text Extractor A. Filonenko Konstantin Gudkov A. Lebedev Nikita Orlov Ivan Zagaynov 26 2 0 14 Aug 2019
Fusion of Detected Objects in Text for Visual Question Answering Chris Alberti Jeffrey Ling Michael Collins David Reitter 95 173 0 14 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 105 460 0 14 Aug 2019
Predicting 3D Human Dynamics from Video Jason Y. Zhang Panna Felsen Angjoo Kanazawa Jitendra Malik 3DH 47 110 0 13 Aug 2019
Automated Brain Tumour Segmentation Using Deep Fully Residual Convolutional Neural Networks Indrajit Mazumdar 19 4 0 12 Aug 2019
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise Senwei Liang Zhongzhan Huang Mingfu Liang Haizhao Yang 102 59 0 12 Aug 2019
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