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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
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network Qi Zhao Shuchang Lyu Zhiwei Zhang Ting-Bing Xu Guangliang Cheng 61 2 0 01 Mar 2021
Predicting post-operative right ventricular failure using video-based deep learning R. Shad Nicolas Quach R. Fong P. Kasinpila C. Bowles ... Y. Woo J. Teuteberg John P. Cunningham C. Langlotz W. Hiesinger 53 48 0 28 Feb 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search Guoyang Xie Jinbao Wang Guo-Ding Yu Feng Zheng Yaochu Jin AAML 78 6 0 28 Feb 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 93 38 0 27 Feb 2021
LazyTensor: combining eager execution with domain-specific compilers Alex Suhan Davide Libenzi Ailing Zhang Parker Schuh Brennan Saeta Jie Young Sohn Denys Shabalin 47 18 0 26 Feb 2021
Swift for TensorFlow: A portable, flexible platform for deep learning Brennan Saeta Denys Shabalin M. Rasi Brad Larson Xihui Wu ... Saleem Abdulrasool A. Efremov Dave Abrahams Chris Lattner Richard Wei HAI 69 11 0 26 Feb 2021
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks M. Solbach John K. Tsotsos 34 3 0 25 Feb 2021
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning R. Morelli L. Clissa M. Dalla M. Luppi L. Rinaldi A. Zoccoli 86 4 0 24 Feb 2021
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures Sanat Ramesh Diego DallÁlba Cristians Gonzalez Tong Yu Pietro Mascagni Didier Mutter J. Marescaux Paolo Fiorini N. Padoy 83 69 0 24 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 442 5,020 0 24 Feb 2021
Dual-Path Modeling for Long Recording Speech Separation in Meetings Chenda Li Zhuo Chen Yi Luo Cong Han Tianyan Zhou K. Kinoshita Marc Delcroix Shinji Watanabe Y. Qian 44 10 0 23 Feb 2021
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution Ahlad Kumar H. Singh OOD SupR MedIm 28 3 0 21 Feb 2021
Contrastive Self-supervised Neural Architecture Search Nam Nguyen Morris J Chang 58 20 0 21 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 151 158 0 20 Feb 2021
Towards Accurate and Compact Architectures via Neural Architecture Transformer Yong Guo Yin Zheng Mingkui Tan Qi Chen Zhipeng Li Jian Chen P. Zhao Junzhou Huang ViT MQ 57 38 0 20 Feb 2021
PLAM: a Posit Logarithm-Approximate Multiplier Raul Murillo Alberto A. Del Barrio Guillermo Botella Min Soo Kim Hyunjin Kim N. Bagherzadeh TPM 65 25 0 18 Feb 2021
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space Kuo Gai Shihua Zhang 103 8 0 18 Feb 2021
Dissecting Supervised Contrastive Learning Florian Graf Christoph Hofer Marc Niethammer Roland Kwitt SSL 168 77 0 17 Feb 2021
Learning Invariant Representations using Inverse Contrastive Loss A. K. Akash Vishnu Suresh Lokhande Sathya Ravi Vikas Singh SSL 49 8 0 16 Feb 2021
ResNet-LDDMM: Advancing the LDDMM Framework using Deep Residual Networks Boulbaba Ben Amor Sylvain Arguillere Ling Shao 59 30 0 16 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 97 40 0 16 Feb 2021
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction Fanwei Kong N. Wilson S. Shadden MedIm AI4CE 118 89 0 16 Feb 2021
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations Rishabh Tiwari Udbhav Bamba Arnav Chavan D. K. Gupta 69 31 0 14 Feb 2021
Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations A. Magassouba K. Sugiura A. Nakayama Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Hisashi Kawai 55 6 0 12 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 70 70 0 11 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 334 525 0 11 Feb 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 120 154 0 11 Feb 2021
Computationally Efficient Multiscale Neural Networks Applied To Fluid Flow In Complex 3D Porous Media Javier E. Santos Ying Yin H. Jo Wen Pan Q. Kang Hari S. Viswanathan M. Prodanović Michael J. Pyrcz Nicholas Lubbers AI4CE 38 0 0 10 Feb 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning F. Kanavati M. Tsuneki MedIm 76 36 0 10 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 58 13 0 09 Feb 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 48 7 0 09 Feb 2021
Towards Bridging the gap between Empirical and Certified Robustness against Adversarial Examples Jay Nandy Sudipan Saha Wynne Hsu Mong Li Lee Xiaosu Zhu AAML 89 4 0 09 Feb 2021
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels Jintai Chen Hongyun Yu Ruiwei Feng Benlin Liu Jian Wu 48 13 0 09 Feb 2021
Arbitrary Conditional Distributions with Energy R. Strauss Junier B. Oliva 74 18 0 08 Feb 2021
Soccer Event Detection Using Deep Learning Ali Karimi Ramin Toosi M. Akhaee 72 13 0 08 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 251 505 0 08 Feb 2021
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas N. Zioulis Federico Álvarez D. Zarpalas P. Daras 3DV 76 12 0 07 Feb 2021
Adversarial example generation with AdaBelief Optimizer and Crop Invariance Bo Yang Hengwei Zhang Yuchen Zhang Kaiyong Xu Jin-dong Wang AAML 71 29 0 07 Feb 2021
FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data Yu-Ching Lu Jie Lin Chao Jin Zhe Wang Min-man Wu Khin Mi Mi Aung Xiaoli Li 84 1 0 06 Feb 2021
Robust Single-step Adversarial Training with Regularizer Lehui Xie Yaopeng Wang Jianwei Yin Ximeng Liu AAML 63 1 0 05 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 122 35 0 05 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 275 184 0 05 Feb 2021
Face Recognition using 3D CNNs N. Mishra S. Singh 3DH CVBM 52 5 0 02 Feb 2021
Evolutionary Neural Architecture Search Supporting Approximate Multipliers Michal Pinos Vojtěch Mrázek Lukás Sekanina 68 10 0 28 Jan 2021
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting F. Nesti Alessandro Biondi Giorgio Buttazzo AAML 64 41 0 27 Jan 2021
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization Aaron Defazio Samy Jelassi ODL 86 70 0 26 Jan 2021
Generalizing Adversarial Examples by AdaBelief Optimizer Yixiang Wang Jiqiang Liu Xiaolin Chang AAML 29 1 0 25 Jan 2021
B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction Hoang Man Trinh Jinjia Zhou 21 6 0 22 Jan 2021
Time-Correlated Sparsification for Communication-Efficient Federated Learning Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 89 49 0 21 Jan 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets Andrew Brock Soham De Samuel L. Smith 205 124 0 21 Jan 2021