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Identity Mappings in Deep Residual Networks

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXivPDFHTML

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 1,593 papers shown
Title
Learning strides in convolutional neural networks
Learning strides in convolutional neural networks
Rachid Riad
O. Teboul
David Grangier
Neil Zeghidour
39
41
0
03 Feb 2022
Deep Learning for Epidemiologists: An Introduction to Neural Networks
Deep Learning for Epidemiologists: An Introduction to Neural Networks
S. Serghiou
K. Rough
FedML
28
13
0
02 Feb 2022
Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive
  DNN Models on Commodity Servers
Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers
Youjie Li
Amar Phanishayee
D. Murray
Jakub Tarnawski
Nam Sung Kim
24
19
0
02 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
78
44
0
01 Feb 2022
Improving Robustness by Enhancing Weak Subnets
Improving Robustness by Enhancing Weak Subnets
Yong Guo
David Stutz
Bernt Schiele
AAML
40
15
0
30 Jan 2022
Toward Training at ImageNet Scale with Differential Privacy
Toward Training at ImageNet Scale with Differential Privacy
Alexey Kurakin
Shuang Song
Steve Chien
Roxana Geambasu
Andreas Terzis
Abhradeep Thakurta
46
100
0
28 Jan 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
52
28
0
28 Jan 2022
IMACS: Image Model Attribution Comparison Summaries
IMACS: Image Model Attribution Comparison Summaries
E. Schoop
Benjamin D. Wedin
A. Kapishnikov
Tolga Bolukbasi
Michael Terry
FAtt
32
1
0
26 Jan 2022
S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training
  Energy Efficient Single-Step Spiking Neural Networks
S3^33NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks
Kazuma Suetake
Shin-ichi Ikegawa
Ryuji Saiin
Yoshihide Sawada
30
4
0
26 Jan 2022
SkiM: Skipping Memory LSTM for Low-Latency Real-Time Continuous Speech
  Separation
SkiM: Skipping Memory LSTM for Low-Latency Real-Time Continuous Speech Separation
Chenda Li
Lei Yang
Weiqin Wang
Y. Qian
43
25
0
26 Jan 2022
An Automated Question-Answering Framework Based on Evolution Algorithm
An Automated Question-Answering Framework Based on Evolution Algorithm
Sinan Tan
Hui Xue
Qiyu Ren
Huaping Liu
Jing Bai
24
0
0
26 Jan 2022
NAS-VAD: Neural Architecture Search for Voice Activity Detection
NAS-VAD: Neural Architecture Search for Voice Activity Detection
Daniel Rho
Jinhyeok Park
J. Ko
53
6
0
22 Jan 2022
Pruning-aware Sparse Regularization for Network Pruning
Pruning-aware Sparse Regularization for Network Pruning
Nanfei Jiang
Xu Zhao
Chaoyang Zhao
Yongqi An
Ming Tang
Jinqiao Wang
3DPC
29
12
0
18 Jan 2022
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Yiding Wang
D. Sun
Kai Chen
Fan Lai
Mosharaf Chowdhury
38
44
0
17 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
42
5,008
0
10 Jan 2022
Avoiding Overfitting: A Survey on Regularization Methods for
  Convolutional Neural Networks
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
C. F. G. Santos
João Paulo Papa
35
215
0
10 Jan 2022
Label Relation Graphs Enhanced Hierarchical Residual Network for
  Hierarchical Multi-Granularity Classification
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
Jingzhou Chen
Peng Wang
Jian Liu
Y. Qian
38
35
0
10 Jan 2022
A Sneak Attack on Segmentation of Medical Images Using Deep Neural
  Network Classifiers
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers
Shuyue Guan
Murray H. Loew
19
3
0
08 Jan 2022
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep
  Neural Network
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network
Huaiqian You
Yue Yu
M. DÉlia
T. Gao
Stewart Silling
34
70
0
06 Jan 2022
Classification of Long Sequential Data using Circular Dilated
  Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng
Ruslan Khalitov
Tong Yu
Zhirong Yang
25
32
0
06 Jan 2022
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement
  Biometrics
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
D. Lohr
Oleg V. Komogortsev
25
4
0
05 Jan 2022
Stochastic Weight Averaging Revisited
Stochastic Weight Averaging Revisited
Hao Guo
Jiyong Jin
B. Liu
35
29
0
03 Jan 2022
Benign Overfitting in Adversarially Robust Linear Classification
Benign Overfitting in Adversarially Robust Linear Classification
Jinghui Chen
Yuan Cao
Quanquan Gu
AAML
SILM
36
10
0
31 Dec 2021
Extended Self-Critical Pipeline for Transforming Videos to Text
  (TRECVID-VTT Task 2021) -- Team: MMCUniAugsburg
Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021) -- Team: MMCUniAugsburg
Philipp Harzig
Moritz Einfalt
K. Ludwig
Rainer Lienhart
ViT
25
0
0
28 Dec 2021
Siamese Network with Interactive Transformer for Video Object
  Segmentation
Siamese Network with Interactive Transformer for Video Object Segmentation
Meng Lan
Jing Zhang
Fengxiang He
Lefei Zhang
ViT
21
36
0
28 Dec 2021
Augmenting Convolutional networks with attention-based aggregation
Augmenting Convolutional networks with attention-based aggregation
Hugo Touvron
Matthieu Cord
Alaaeldin El-Nouby
Piotr Bojanowski
Armand Joulin
Gabriel Synnaeve
Hervé Jégou
ViT
38
47
0
27 Dec 2021
Learning Optimization Proxies for Large-Scale Security-Constrained
  Economic Dispatch
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch
Wenbo Chen
Seonho Park
Mathieu Tanneau
Pascal Van Hentenryck
34
42
0
27 Dec 2021
Improving Robustness with Image Filtering
Improving Robustness with Image Filtering
M. Terzi
Mattia Carletti
Gian Antonio Susto
AAML
34
0
0
21 Dec 2021
An Interpretive Constrained Linear Model for ResNet and MgNet
An Interpretive Constrained Linear Model for ResNet and MgNet
Juncai He
Jinchao Xu
Lian Zhang
Jianqing Zhu
14
18
0
14 Dec 2021
TRACER: Extreme Attention Guided Salient Object Tracing Network
TRACER: Extreme Attention Guided Salient Object Tracing Network
Min Seok Lee
Wooseok Shin
S. W. Han
31
82
0
14 Dec 2021
Improving the Transferability of Adversarial Examples with
  Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
Junhua Zou
Zhisong Pan
Junyang Qiu
Xin Liu
Ting Rui
Wei Li
23
67
0
11 Dec 2021
Fully Attentional Network for Semantic Segmentation
Fully Attentional Network for Semantic Segmentation
Qi Song
Jie Li
Chenghong Li
Hao Guo
Rui Huang
3DPC
16
51
0
08 Dec 2021
Image classifiers can not be made robust to small perturbations
Image classifiers can not be made robust to small perturbations
Zheng Dai
David K Gifford
VLM
AAML
36
1
0
07 Dec 2021
Safe Distillation Box
Safe Distillation Box
Jingwen Ye
Yining Mao
Mingli Song
Xinchao Wang
Cheng Jin
Xiuming Zhang
AAML
24
13
0
05 Dec 2021
MViTv2: Improved Multiscale Vision Transformers for Classification and
  Detection
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
Yanghao Li
Chaoxia Wu
Haoqi Fan
K. Mangalam
Bo Xiong
Jitendra Malik
Christoph Feichtenhofer
ViT
77
680
0
02 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi
Gregory W. Benton
A. Wilson
BDL
UQCV
24
55
0
02 Dec 2021
Batch Normalization Tells You Which Filter is Important
Batch Normalization Tells You Which Filter is Important
Junghun Oh
Heewon Kim
Sungyong Baik
Chee Hong
Kyoung Mu Lee
CVBM
47
8
0
02 Dec 2021
A Unified Benchmark for the Unknown Detection Capability of Deep Neural
  Networks
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks
Jihyo Kim
Jiin Koo
Sangheum Hwang
UQCV
16
19
0
01 Dec 2021
FMD-cGAN: Fast Motion Deblurring using Conditional Generative
  Adversarial Networks
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks
Jatin Kumar
Indra Deep Mastan
Shanmuganathan Raman
47
2
0
30 Nov 2021
Generative Convolution Layer for Image Generation
Generative Convolution Layer for Image Generation
Seung-won Park
Y. Shin
26
12
0
30 Nov 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
26
25
0
27 Nov 2021
Adaptive Perturbation for Adversarial Attack
Adaptive Perturbation for Adversarial Attack
Zheng Yuan
Jie Zhang
Zhaoyan Jiang
Liangliang Li
Shiguang Shan
AAML
32
3
0
27 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Yixuan Li
OODD
43
459
0
24 Nov 2021
Transferability Estimation using Bhattacharyya Class Separability
Transferability Estimation using Bhattacharyya Class Separability
Michal Pándy
A. Agostinelli
J. Uijlings
V. Ferrari
Thomas Mensink
29
57
0
24 Nov 2021
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis
Ilke Demir
U. Ciftci
DiffM
38
3
0
24 Nov 2021
Critical Initialization of Wide and Deep Neural Networks through Partial
  Jacobians: General Theory and Applications
Critical Initialization of Wide and Deep Neural Networks through Partial Jacobians: General Theory and Applications
Darshil Doshi
Tianyu He
Andrey Gromov
32
8
0
23 Nov 2021
Using mixup as regularization and tuning hyper-parameters for ResNets
Using mixup as regularization and tuning hyper-parameters for ResNets
Venkata Bhanu Teja Pallakonda
16
0
0
23 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
43
10
0
23 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label
  Noise
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
NoLa
29
18
0
22 Nov 2021
Extracting Deformation-Aware Local Features by Learning to Deform
Extracting Deformation-Aware Local Features by Learning to Deform
Guilherme A. Potje
Renato Martins
Felipe Cadar
Erickson R. Nascimento
3DH
39
8
0
20 Nov 2021
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