v1v2v3 (latest)

Identity Mappings in Deep Residual Networks

16 March 2016

ArXiv (abs)PDF HTML Github (917★)

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 3,572 papers shown

Title
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 85 45 0 24 Jun 2020
Feature-Dependent Cross-Connections in Multi-Path Neural Networks Dumindu Tissera H. W. M. K. Vithanage Rukshan Wijesinghe Kumara Kahatapitiya Subha Fernando Ranga Rodrigo 30 3 0 24 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 85 139 0 23 Jun 2020
Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference D. Brinkerhoff A. Aschwanden M. Fahnestock 57 44 0 22 Jun 2020
Revisiting Loss Modelling for Unstructured Pruning César Laurent Camille Ballas Thomas George Nicolas Ballas Pascal Vincent 68 14 0 22 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 145 25 0 22 Jun 2020
Object Tracking through Residual and Dense LSTMs Fabio Garcea A. Cucco Lia Morra Fabrizio Lamberti VOT 29 1 0 22 Jun 2020
DO-Conv: Depthwise Over-parameterized Convolutional Layer Jinming Cao Yangyan Li Mingchao Sun Ying-Cong Chen Dani Lischinski Daniel Cohen-Or Baoquan Chen Changhe Tu OOD 101 173 0 22 Jun 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 93 183 0 22 Jun 2020
Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network Zhihui Guo Honghai Zhang Zhi Chen Ellen van der Plas L. Gutmann D. Thedens P. Nopoulos Milan Sonka MedIm 30 1 0 21 Jun 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition Ionut Cosmin Duta Li Liu Fan Zhu Ling Shao 70 198 0 20 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation Duong H. Le Vo Trung Nhan N. Thoai VLM 54 7 0 20 Jun 2020
Analyzing the Real-World Applicability of DGA Classifiers Arthur Drichel Ulrike Meyer Samuel Schüppen Dominik Teubert 47 38 0 19 Jun 2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples Kaleel Mahmood Deniz Gurevin Marten van Dijk Phuong Ha Nguyen AAML 90 24 0 18 Jun 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 169 90 0 18 Jun 2020
A Shooting Formulation of Deep Learning François-Xavier Vialard Roland Kwitt Susan Wei Marc Niethammer 47 13 0 18 Jun 2020
Density Deconvolution with Normalizing Flows Tim Dockhorn James A. Ritchie Yaoliang Yu Iain Murray DRL 64 5 0 16 Jun 2020
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng Baoyuan Wu Yanbo Fan Li Liu Zhifeng Li Shutao Xia AAML 77 6 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 122 103 0 15 Jun 2020
Classifying degraded images over various levels of degradation Kazuki Endo Masayuki Tanaka Masatoshi Okutomi 33 15 0 15 Jun 2020
Road Mapping in Low Data Environments with OpenStreetMap John Kamalu Benjamin Choi 18 1 0 14 Jun 2020
Explicitly Modeled Attention Maps for Image Classification Andong Tan D. Nguyen Maximilian Dax Matthias Nießner Thomas Brox 54 9 0 14 Jun 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels Songhua Wu Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Nannan Wang Haifeng Liu Gang Niu NoLa 76 53 0 14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 74 32 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 279 443 0 13 Jun 2020
O(1) Communication for Distributed SGD through Two-Level Gradient Averaging Subhadeep Bhattacharya Weikuan Yu Fahim Chowdhury FedML 26 2 0 12 Jun 2020
Dynamic Model Pruning with Feedback Tao R. Lin Sebastian U. Stich Luis Barba Daniil Dmitriev Martin Jaggi 167 204 0 12 Jun 2020
Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition Miltiadis Poursanidis J. Benois-Pineau A. Zemmari Boris Mansencal A. Rugy CLL 35 6 0 12 Jun 2020
Towards Early Diagnosis of Epilepsy from EEG Data D. Lu S. Bauer V. Neubert L. Costard F. Rosenow Jochen Triesch 36 3 0 11 Jun 2020
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks Jonathan Ephrath Lars Ruthotto Eran Treister 52 1 0 11 Jun 2020
Deep Transfer Learning with Ridge Regression Shuai Tang V. D. Sa 33 1 0 11 Jun 2020
On Improving the Generalization of Face Recognition in the Presence of Occlusions Xiang Xu N. Sarafianos I. Kakadiaris CVBM 55 14 0 11 Jun 2020
Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty Taejong Joo U. Chung BDL UQCV 34 0 0 11 Jun 2020
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? Lifu Wang Bo Shen Ningrui Zhao Zhiyuan Zhang 67 16 0 10 Jun 2020
Interpolation between Residual and Non-Residual Networks Zonghan Yang Yang Liu Chenglong Bao Zuoqiang Shi 65 13 0 10 Jun 2020
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy Akinori F. Ebihara Taiki Miyagawa K. Sakurai Hitoshi Imaoka 69 0 0 10 Jun 2020
DcardNet: Diabetic Retinopathy Classification at Multiple Levels Based on Structural and Angiographic Optical Coherence Tomography P. Zang Liqin Gao T. Hormel Jie Wang Q. You T. Hwang Yali Jia 76 53 0 09 Jun 2020
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection Qingdong He Zhengning Wang Hao Zeng Yijun Liu Shuaicheng Liu B. Zeng 3DPC 63 17 0 09 Jun 2020
Rethinking preventing class-collapsing in metric learning with margin-based losses Elad Levi Tete Xiao Xiaolong Wang Trevor Darrell 38 14 0 09 Jun 2020
SEKD: Self-Evolving Keypoint Detection and Description Yafei Song Lingyi Cai Jia Li Yonghong Tian Mingyang Li 119 29 0 09 Jun 2020
Calibrated neighborhood aware confidence measure for deep metric learning Maryna Karpusha Sunghee Yun István Fehérvári UQCV FedML 126 2 0 08 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 93 262 0 08 Jun 2020
Reposing Humans by Warping 3D Features Markus Knoche István Sárándi Bastian Leibe 3DH 71 21 0 08 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling Moshe Eliasof Eran Treister 65 25 0 07 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 58 25 0 07 Jun 2020
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion Peng-Shuai Wang Yang Liu Xin Tong 3DPC 74 65 0 06 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 160 100 0 05 Jun 2020
Discovering Parametric Activation Functions G. Bingham Risto Miikkulainen ODL 74 73 0 05 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 78 50 0 04 Jun 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up A. Gujarati Reza Karimi Safya Alzayat Wei Hao Antoine Kaufmann Ymir Vigfusson Jonathan Mace 115 284 0 03 Jun 2020