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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
Canonical Face Embeddings David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 68 7 0 15 Jun 2021
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform Yuhang He A. Trigoni Andrew Markham 67 19 0 13 Jun 2021
Go Small and Similar: A Simple Output Decay Brings Better Performance Xuan Cheng Tianshu Xie Xiaomin Wang Jiali Deng Minghui Liu Ming Liu 38 0 0 12 Jun 2021
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network Justin Lovelace Denis R. Newman-Griffis Shikhar Vashishth J. Lehman Carolyn Rose OffRL 73 35 0 11 Jun 2021
Attention-based Partial Face Recognition S. Hörmann Zeyuan Zhang Martin Knoche Torben Teepe Gerhard Rigoll CVBM 3DH 63 3 0 11 Jun 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 100 117 0 11 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 118 64 0 11 Jun 2021
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka 96 39 0 10 Jun 2021
Data augmentation in Bayesian neural networks and the cold posterior effect Seth Nabarro Stoil Ganev Adrià Garriga-Alonso Vincent Fortuin Mark van der Wilk Laurence Aitchison BDL 92 41 0 10 Jun 2021
RLCorrector: Reinforced Proofreading for Cell-level Microscopy Image Segmentation K. Nguyen Ganghee Jang T. Tuan Won-Ki Jeong 112 2 0 10 Jun 2021
Tracking by Joint Local and Global Search: A Target-aware Attention based Approach Tianlin Li Jin Tang Bin Luo Yaowei Wang Yonghong Tian Feng Wu 71 32 0 09 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes Zihang Dai Hanxiao Liu Quoc V. Le Mingxing Tan ViT 157 1,223 0 09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot Rebecca Roelofs Kihyuk Sohn Nicholas Carlini Alexey Kurakin 75 145 0 08 Jun 2021
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization Mufan Li Mihai Nica Daniel M. Roy 122 34 0 07 Jun 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning Piotr Pikekos Henryk Michalewski Mateusz Malinowski 86 28 0 07 Jun 2021
Vanishing Curvature and the Power of Adaptive Methods in Randomly Initialized Deep Networks Antonio Orvieto Jonas Köhler Dario Pavllo Thomas Hofmann Aurelien Lucchi ODL 76 5 0 07 Jun 2021
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence A. Labatie Dominic Masters Zach Eaton-Rosen Carlo Luschi 137 21 0 07 Jun 2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs Jiaren Xiao Quanyu Dai Xiaochen Xie J. Lam Ka-Wai Kwok GNN 78 7 0 07 Jun 2021
Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 49 1 0 07 Jun 2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning Kefan Chen Noah Snavely A. Makadia 3DH 85 58 0 07 Jun 2021
Convolutional Neural Networks with Gated Recurrent Connections Jianfeng Wang Xiaolin Hu ObjD 62 40 0 05 Jun 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities Oliver T. Unke Mihail Bogojeski M. Gastegger Mario Geiger Tess E. Smidt Klaus-Robert Muller 104 94 0 04 Jun 2021
Stochastic Whitening Batch Normalization Shengdong Zhang E. Nezhadarya H. Fashandi Jiayi Liu Darin Graham Mohak Shah 107 10 0 03 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 99 44 0 03 Jun 2021
GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture Weijin Zhu Yao Shen Linfeng Yu Lizeth Patricia Aguirre Sanchez 69 3 0 03 Jun 2021
ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition S. Verbitskiy Vladimir Berikov Viacheslav Vyshegorodtsev 142 75 0 03 Jun 2021
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting Ang Li Qiuhong Ke Xingjun Ma Haiqin Weng Zhiyuan Zong Feng Xue Rui Zhang 34 15 0 03 Jun 2021
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines Matthew A. Wright Joseph E. Gonzalez 90 23 0 02 Jun 2021
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task Longhui Wei Lingxi Xie Wen-gang Zhou Houqiang Li Qi Tian SSL 72 3 0 01 Jun 2021
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports Brandon Victor Aiden Nibali Zhen He D. Carey 44 9 0 01 Jun 2021
Query Attack by Multi-Identity Surrogates Sizhe Chen Zhehao Huang Qinghua Tao Xiaolin Huang AAML 91 4 0 31 May 2021
Choose a Transformer: Fourier or Galerkin Shuhao Cao 94 256 0 31 May 2021
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations Sheo Yon Jhin Minju Jo Taeyong Kong Jinsung Jeon Noseong Park BDL 69 15 0 31 May 2021
Refined Deep Neural Network and U-Net for Polyps Segmentation Quoc-Huy Trinh Minh Le Nguyen Thiet-Gia Huynh M. Tran SSeg 27 7 0 31 May 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 54 18 0 31 May 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights H. Ritter Martin Kukla Chen Zhang Yingzhen Li UQCV BDL 94 17 0 30 May 2021
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss David Macêdo Teresa B Ludermir OODD 127 13 0 30 May 2021
Greedy Bayesian Posterior Approximation with Deep Ensembles A. Tiulpin Matthew B. Blaschko UQCV FedML 93 4 0 29 May 2021
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness Glenn Dawson R. Polikar NoLa 82 3 0 28 May 2021
Robust Regularization with Adversarial Labelling of Perturbed Samples Xiaohui Guo Richong Zhang Yaowei Zheng Yongyi Mao AAML 46 0 0 28 May 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 59 3 0 28 May 2021
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error Stanislav Fort Andrew Brock Razvan Pascanu Soham De Samuel L. Smith 66 32 0 27 May 2021
Training Classifiers that are Universally Robust to All Label Noise Levels Jingyi Xu Tony Q.S. Quek Kai Fong Ernest Chong NoLa 60 2 0 27 May 2021
Towards Interpretable Attention Networks for Cervical Cancer Analysis Ruiqiao Wang M. Armin Akila Pemasiri L. Petersson David Ahmedt-Aristizabal 35 4 0 27 May 2021
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness Namuk Park S. Kim UQCV AAML 93 21 0 26 May 2021
Adversarial Robustness against Multiple and Single $l_p$ -Threat Models via Quick Fine-Tuning of Robust Classifiers Francesco Croce Matthias Hein OOD AAML 71 18 0 26 May 2021
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks Khaled Koutini Hamid Eghbalzadeh Gerhard Widmer 108 47 0 26 May 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks Jianhao Ding Zhaofei Yu Yonghong Tian Tiejun Huang 110 158 0 25 May 2021
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds John Y. Shin 143 5 0 23 May 2021
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly Yuchen Jin Dinesh Manocha Liangyu Zhao Yibo Zhu Chuanxiong Guo Marco Canini Arvind Krishnamurthy 95 19 0 22 May 2021