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Identity Mappings in Deep Residual Networks
v1v2v3 (latest)

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXiv (abs)PDFHTMLGithub (917★)

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 3,572 papers shown
Title
Frequency and temporal convolutional attention for text-independent
  speaker recognition
Frequency and temporal convolutional attention for text-independent speaker recognition
Sarthak Yadav
A. Rai
120
58
0
16 Oct 2019
Learning Generalisable Omni-Scale Representations for Person
  Re-Identification
Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
119
226
0
15 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey D. Ignatov
Radu Timofte
Andrei Kulik
Seungsoo Yang
Ke Wang
Felix Baum
Max Wu
Lirong Xu
Luc Van Gool
ELM
53
222
0
15 Oct 2019
Training CNNs faster with Dynamic Input and Kernel Downsampling
Training CNNs faster with Dynamic Input and Kernel Downsampling
Zissis Poulos
A. Nouri
Andreas Moshovos
28
0
0
15 Oct 2019
Target-Oriented Deformation of Visual-Semantic Embedding Space
Target-Oriented Deformation of Visual-Semantic Embedding Space
Takashi Matsubara
55
7
0
15 Oct 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Mengdi Wang
Chen Meng
Guoping Long
Chuan Wu
Jun Yang
Wei Lin
Yangqing Jia
73
56
0
14 Oct 2019
Transformers without Tears: Improving the Normalization of
  Self-Attention
Transformers without Tears: Improving the Normalization of Self-Attention
Toan Q. Nguyen
Julian Salazar
96
231
0
14 Oct 2019
Stabilizing Transformers for Reinforcement Learning
Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto
H. F. Song
Jack W. Rae
Razvan Pascanu
Çağlar Gülçehre
...
Aidan Clark
Seb Noury
M. Botvinick
N. Heess
R. Hadsell
OffRL
105
368
0
13 Oct 2019
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal
  Diseases from Optical Tomography Images
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images
Sharif Amit Kamran
Sourajit Saha
A. Sabbir
Alireza Tavakkoli
41
51
0
13 Oct 2019
On Empirical Comparisons of Optimizers for Deep Learning
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi
Christopher J. Shallue
Zachary Nado
Jaehoon Lee
Chris J. Maddison
George E. Dahl
145
259
0
11 Oct 2019
Single Image BRDF Parameter Estimation with a Conditional Adversarial
  Network
Single Image BRDF Parameter Estimation with a Conditional Adversarial Network
Mark Boss
Hendrik P. A. Lensch
GAN
44
10
0
11 Oct 2019
Deep Independently Recurrent Neural Network (IndRNN)
Deep Independently Recurrent Neural Network (IndRNN)
Shuai Li
Wanqing Li
Chris Cook
Yanbo Gao
66
51
0
11 Oct 2019
Learning from Indirect Observations
Learning from Indirect Observations
Yivan Zhang
Nontawat Charoenphakdee
Masashi Sugiyama
62
5
0
10 Oct 2019
Cribriform pattern detection in prostate histopathological images using
  deep learning models
Cribriform pattern detection in prostate histopathological images using deep learning models
Malay Singh
E. Kalaw
Jie Wang
M. Al-Shabi
C. Wong
D. Giron
K. Chong
Maxine Tan
Zeng Zeng
H. Lee
MedIm
24
8
0
09 Oct 2019
Differentiable Sparsification for Deep Neural Networks
Differentiable Sparsification for Deep Neural Networks
Yognjin Lee
72
7
0
08 Oct 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
  Networks
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang
Banggu Wu
Peng Fei Zhu
P. Li
W. Zuo
Q. Hu
196
4,098
0
08 Oct 2019
Farkas layers: don't shift the data, fix the geometry
Farkas layers: don't shift the data, fix the geometry
Aram-Alexandre Pooladian
Chris Finlay
Adam M. Oberman
AI4CE
36
1
0
04 Oct 2019
MLPerf Training Benchmark
MLPerf Training Benchmark
Arya D. McCarthy
Christine Cheng
Cody Coleman
Greg Diamos
Paulius Micikevicius
...
Carole-Jean Wu
Lingjie Xu
Masafumi Yamazaki
C. Young
Matei A. Zaharia
124
316
0
02 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
97
449
0
01 Oct 2019
How noise affects the Hessian spectrum in overparameterized neural
  networks
How noise affects the Hessian spectrum in overparameterized neural networks
Ming-Bo Wei
D. Schwab
85
28
0
01 Oct 2019
XNOR-Net++: Improved Binary Neural Networks
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat
Georgios Tzimiropoulos
MQ
92
205
0
30 Sep 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising
  Flows
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
R. Cornish
Anthony L. Caterini
George Deligiannidis
Arnaud Doucet
50
3
0
30 Sep 2019
EdgeCNN: Convolutional Neural Network Classification Model with small
  inputs for Edge Computing
EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing
Shunzhi Yang
Zheng Gong
Kai Ye
Yungen Wei
Zheng Huang
Zhenhua Huang
35
12
0
30 Sep 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
101
96
0
29 Sep 2019
Liquid Warping GAN: A Unified Framework for Human Motion Imitation,
  Appearance Transfer and Novel View Synthesis
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
Wen Liu
Zhixin Piao
Jie Min
Wenhan Luo
Lin Ma
Shenghua Gao
DiffM
86
260
0
26 Sep 2019
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation
Pavel Kirsanov
Airat Gaskarov
Filipp Konokhov
Konstantin Sofiiuk
Anna Vorontsova
Igor Slinko
D. Zhukov
Sergey Bykov
O. Barinova
Anton Konushin
3DV
86
18
0
26 Sep 2019
Hierarchical Neural Architecture Search via Operator Clustering
Hierarchical Neural Architecture Search via Operator Clustering
Guilin Li
Xingzhi Zhang
Zitong Wang
Matthias Tan
Jiashi Feng
Zhenguo Li
Tong Zhang
92
25
0
26 Sep 2019
Unsupervised Domain Adaptation through Self-Supervision
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
OODSSL
82
238
0
26 Sep 2019
High Fidelity Speech Synthesis with Adversarial Networks
High Fidelity Speech Synthesis with Adversarial Networks
Mikolaj Binkowski
Jeff Donahue
Sander Dieleman
Aidan Clark
Erich Elsen
Norman Casagrande
Luis C. Cobo
Karen Simonyan
316
240
0
25 Sep 2019
Deep Predictive Motion Tracking in Magnetic Resonance Imaging:
  Application to Fetal Imaging
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
Ayush Singh
S. Salehi
Ali Gholipour
MedIm
47
35
0
25 Sep 2019
Locally adaptive activation functions with slope recovery term for deep
  and physics-informed neural networks
Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks
Ameya Dilip Jagtap
Kenji Kawaguchi
George Karniadakis
ODL
96
86
0
25 Sep 2019
Gated Channel Transformation for Visual Recognition
Gated Channel Transformation for Visual Recognition
Zongxin Yang
Linchao Zhu
Yu Wu
Yezhou Yang
ViT
60
212
0
25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Tianyu Pang
Kun Xu
Jun Zhu
AAML
91
105
0
25 Sep 2019
PolSAR Image Classification Based on Dilated Convolution and
  Pixel-Refining Parallel Mapping network in the Complex Domain
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
Dongling Xiao
Chang Liu
Liu Chang
Chao Wang
Xin Zhang
32
9
0
24 Sep 2019
Learning an Adaptive Learning Rate Schedule
Learning an Adaptive Learning Rate Schedule
Zhen Xu
Andrew M. Dai
Jonas Kemp
Luke Metz
72
62
0
20 Sep 2019
Deep Metric Learning using Similarities from Nonlinear Rank
  Approximations
Deep Metric Learning using Similarities from Nonlinear Rank Approximations
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
DML
25
3
0
20 Sep 2019
Deep Aggregation of Regional Convolutional Activations for Content Based
  Image Retrieval
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
30
5
0
20 Sep 2019
Propagated Perturbation of Adversarial Attack for well-known CNNs:
  Empirical Study and its Explanation
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation
Jihyeun Yoon
Kyungyul Kim
Jongseong Jang
AAML
48
4
0
19 Sep 2019
Localization with Limited Annotation for Chest X-rays
Localization with Limited Annotation for Chest X-rays
Eyal Rozenberg
Daniel Freedman
A. Bronstein
54
17
0
19 Sep 2019
Meta-Neighborhoods
Meta-Neighborhoods
Siyuan Shan
Yang Li
Junier Oliva
142
15
0
18 Sep 2019
Memory-Efficient Hierarchical Neural Architecture Search for Image
  Denoising
Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising
Haokui Zhang
Ying Li
Hao Chen
Chunhua Shen
AI4CE
55
57
0
18 Sep 2019
Spherical View Synthesis for Self-Supervised 360 Depth Estimation
Spherical View Synthesis for Self-Supervised 360 Depth Estimation
N. Zioulis
Antonis Karakottas
D. Zarpalas
Federico Álvarez
P. Daras
MDE
74
98
0
17 Sep 2019
Heterogeneity-Aware Asynchronous Decentralized Training
Heterogeneity-Aware Asynchronous Decentralized Training
Qinyi Luo
Jiaao He
Youwei Zhuo
Xuehai Qian
62
8
0
17 Sep 2019
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle
  using Deep Learning
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning
Bo-in Seo
Daniel Mariano
John Beckfield
Vinay Madenur
Yuming Hu
Tony Reina
Marcus Bobar
M. H. Nguyen
I. Altintas
24
5
0
17 Sep 2019
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
156
244
0
16 Sep 2019
On the Separability of Classes with the Cross-Entropy Loss Function
On the Separability of Classes with the Cross-Entropy Loss Function
Rudrajit Das
S. Chaudhuri
45
23
0
16 Sep 2019
Learning to Map Nearly Anything
Learning to Map Nearly Anything
Tawfiq Salem
Connor Greenwell
Hunter Blanton
Nathan Jacobs
41
7
0
16 Sep 2019
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware
  Networks
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks
Andriy Myronenko
Ali Hatamizadeh
77
35
0
14 Sep 2019
FfDL : A Flexible Multi-tenant Deep Learning Platform
FfDL : A Flexible Multi-tenant Deep Learning Platform
K.R. Jayaram
Vinod Muthusamy
Parijat Dube
Vatche Isahagian
Chen Wang
...
Diana Arroyo
Asser Tantawi
Archit Verma
Falk Pollok
Rania Y. Khalaf
VLM
38
23
0
14 Sep 2019
Recommendation or Discrimination?: Quantifying Distribution Parity in
  Information Retrieval Systems
Recommendation or Discrimination?: Quantifying Distribution Parity in Information Retrieval Systems
R. Khaziev
Bryce Casavant
Pearce Washabaugh
Amy A. Winecoff
Matthew Graham
18
0
0
13 Sep 2019
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