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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
FC $^2$ N: Fully Channel-Concatenated Network for Single Image Super-Resolution Xiaole Zhao Ying Liao Tian He Yulun Zhang Yadong Wu Tao Zhang SupR 49 3 0 07 Jul 2019
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Cover Detection using Dominant Melody Embeddings Guillaume Doras Geoffroy Peeters 52 31 0 03 Jul 2019
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning Yo Joong Choe Jiyeon Ham Kyubyong Park Yeoil Yoon 67 82 0 02 Jul 2019
Weight Normalization based Quantization for Deep Neural Network Compression Wenhong Cai Wu-Jun Li 48 14 0 01 Jul 2019
Cross-view Relation Networks for Mammogram Mass Detection Jiechao Ma Sen Liang Xiang Li Hongwei Bran Li Bjoern Menze Rongguo Zhang Weishi Zheng 112 30 0 01 Jul 2019
Neural ODEs as the Deep Limit of ResNets with constant weights B. Avelin K. Nystrom ODL 141 32 0 28 Jun 2019
Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang J. Leskovec Matei A. Zaharia 134 351 0 26 Jun 2019
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities S. Mo N. Zabaras Xiaoqing Shi Jichun Wu 103 43 0 26 Jun 2019
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification Javier Naranjo-Alcazar Sergi Perez-Castanos Irene Martín-Morató P. Zuccarello M. Cobos 30 7 0 26 Jun 2019
Automatic Hierarchical Classification of Kelps using Deep Residual Features A. Mahmood A. Ospina Bennamoun Senjian An Ferdous Sohel F. Boussaïd R. Hovey Robert B. Fisher G. Kendrick 35 1 0 26 Jun 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 95 888 0 25 Jun 2019
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Phi Vu Tran SSL 53 16 0 25 Jun 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Wenxiao Wang Cong Fu Jishun Guo Deng Cai Xiaofei He VLM 64 72 0 25 Jun 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 128 128 0 23 Jun 2019
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout Zhilu Zhang Adrian Dalca M. Sabuncu UQCV BDL 72 48 0 23 Jun 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 91 29 0 23 Jun 2019
Boosting the rule-out accuracy of deep disease detection using class weight modifiers Alexandros Karargyris Ken C. L. Wong Joy T. Wu M. Moradi Tanveer Syeda-Mahmood MedIm 40 1 0 21 Jun 2019
Clustering and Classification Networks Jinyoung Choi 13 0 0 20 Jun 2019
Data Interpolating Prediction: Alternative Interpretation of Mixup Takuya Shimada Shoichiro Yamaguchi K. Hayashi Sosuke Kobayashi 75 7 0 20 Jun 2019
Prune and Replace NAS Kevin Laube A. Zell 66 13 0 18 Jun 2019
4D CNN for semantic segmentation of cardiac volumetric sequences Andriy Myronenko Ke Wang Varun Buch Daguang Xu Alvin Ihsani S. Doyle Mark H. Michalski Neil A. Tenenholtz H. Roth 3DPC 83 27 0 17 Jun 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior Shuyu Cheng Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 94 274 0 17 Jun 2019
Spatio-Temporal Fusion Networks for Action Recognition Sangwoo Cho H. Foroosh 52 12 0 17 Jun 2019
Mixture separability loss in a deep convolutional network for image classification T. Do Cheng-Bin Jin Hakil Kim Van Huan Nguyen 35 2 0 16 Jun 2019
Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay Johannes Ballé Saurabh Singh Abhinav Shrivastava 84 43 0 15 Jun 2019
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 153 426 0 14 Jun 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 173 1,217 0 13 Jun 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation Erik Englesson Hossein Azizpour UQCV 74 9 0 12 Jun 2019
Visual Wake Words Dataset Aakanksha Chowdhery Pete Warden Jonathon Shlens Andrew G. Howard Rocky Rhodes VLM 88 102 0 12 Jun 2019
Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets Ines Rieger T. Hauenstein S. Hettenkofer Jens-Uwe Garbas 3DH 41 9 0 12 Jun 2019
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset Zhenyu Wu Haotao Wang Zhaowen Wang Hailin Jin Zhangyang Wang AAML PICV 111 15 0 12 Jun 2019
Regularizing Neural Networks via Minimizing Hyperspherical Energy Rongmei Lin Weiyang Liu Zhen Liu Chen Feng Zhiding Yu James M. Rehg Li Xiong Le Song 105 39 0 12 Jun 2019
NAS-FCOS: Fast Neural Architecture Search for Object Detection Ning Wang Yang Gao Hao Chen Peng Wang Zhi Tian Chunhua Shen Yanning Zhang ObjD 104 193 0 11 Jun 2019
Probabilistic Forecasting with Temporal Convolutional Neural Network Yitian Chen Yanfei Kang Yixiong Chen Zizhuo Wang BDL AI4TS 119 331 0 11 Jun 2019
Associative Convolutional Layers H. Omidvar Vahideh Akhlaghi M. Franceschetti Rajesh K. Gupta 46 1 0 10 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 236 778 0 10 Jun 2019
Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining Yasutoshi Ida Yasuhiro Fujiwara 56 1 0 10 Jun 2019
A Closed-Form Learned Pooling for Deep Classification Networks Vighnesh Birodkar H. Mobahi Dilip Krishnan Samy Bengio 39 0 0 10 Jun 2019
ANODEV2: A Coupled Neural ODE Evolution Framework Tianjun Zhang Z. Yao A. Gholami Kurt Keutzer Joseph E. Gonzalez George Biros Michael W. Mahoney 75 41 0 10 Jun 2019
Four Things Everyone Should Know to Improve Batch Normalization Cecilia Summers M. Dinneen 85 52 0 09 Jun 2019
Reducing the variance in online optimization by transporting past gradients Sébastien M. R. Arnold Pierre-Antoine Manzagol Reza Babanezhad Ioannis Mitliagkas Nicolas Le Roux 84 28 0 08 Jun 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Michael I. Jordan AAML 93 101 0 08 Jun 2019
Selfie: Self-supervised Pretraining for Image Embedding Trieu H. Trinh Minh-Thang Luong Quoc V. Le SSL 72 113 0 07 Jun 2019
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness Walt Woods Jack H Chen C. Teuscher AAML 66 46 0 07 Jun 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View Yiping Lu Zhuohan Li Di He Zhiqing Sun Bin Dong Tao Qin Liwei Wang Tie-Yan Liu AI4CE 84 176 0 06 Jun 2019
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 104 58 0 05 Jun 2019
Farm land weed detection with region-based deep convolutional neural networks Mohammad Ibrahim Sarker Hyongsuk Kim 30 8 0 05 Jun 2019
Learning Deep Transformer Models for Machine Translation Qiang Wang Bei Li Tong Xiao Jingbo Zhu Changliang Li Derek F. Wong Lidia S. Chao 108 672 0 05 Jun 2019