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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 / 1,544 papers shown
Title
Scaleable input gradient regularization for adversarial robustness
Scaleable input gradient regularization for adversarial robustness
Chris Finlay
Adam M. Oberman
AAML
16
77
0
27 May 2019
Stochastic Gradient Methods with Layer-wise Adaptive Moments for
  Training of Deep Networks
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks
Boris Ginsburg
P. Castonguay
Oleksii Hrinchuk
Oleksii Kuchaiev
Vitaly Lavrukhin
Ryan Leary
Jason Chun Lok Li
Huyen Nguyen
Yang Zhang
Jonathan M. Cohen
ODL
25
13
0
27 May 2019
Infinitely deep neural networks as diffusion processes
Infinitely deep neural networks as diffusion processes
Stefano Peluchetti
Stefano Favaro
ODL
19
31
0
27 May 2019
A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
13
64
0
26 May 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRL
OOD
33
198
0
24 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
28
158
0
23 May 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in
  Convolutional Networks
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li
Xiaolin Hu
Jian Yang
24
193
0
23 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
58
1,417
0
22 May 2019
Semi-Supervised Learning by Augmented Distribution Alignment
Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang
Wen Li
Luc Van Gool
26
68
0
20 May 2019
STAR: A Concise Deep Learning Framework for Citywide Human Mobility
  Prediction
STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction
Hongnian Wang
Han Su
HAI
31
17
0
16 May 2019
Orthogonal Deep Neural Networks
Orthogonal Deep Neural Networks
Kui Jia
Shuai Li
Yuxin Wen
Tongliang Liu
Dacheng Tao
39
132
0
15 May 2019
Training CNNs with Selective Allocation of Channels
Training CNNs with Selective Allocation of Channels
Jongheon Jeong
Jinwoo Shin
CVBM
39
15
0
11 May 2019
Language Modeling with Deep Transformers
Language Modeling with Deep Transformers
Kazuki Irie
Albert Zeyer
Ralf Schluter
Hermann Ney
KELM
43
171
0
10 May 2019
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting
  in NAS
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
Yangzhou Jiang
Cong Zhao
Zeyang Dou
Lei Pang
14
5
0
07 May 2019
Seamless Scene Segmentation
Seamless Scene Segmentation
Lorenzo Porzi
Samuel Rota Buló
Aleksander Colovic
Peter Kontschieder
SSeg
27
207
0
03 May 2019
Billion-scale semi-supervised learning for image classification
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Hervé Jégou
Kan Chen
Manohar Paluri
D. Mahajan
SSL
36
458
0
02 May 2019
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer
  Preserving Augmentation
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
Jiaming Liu
Chihao Wu
Yuzhi Wang
Qin Xu
Yuqian Zhou
...
Chuan Wang
Shaofan Cai
Yifan Ding
Haoqiang Fan
Jue Wang
31
68
0
29 Apr 2019
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning
  Rate Procedure For Least Squares
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
Rong Ge
Sham Kakade
Rahul Kidambi
Praneeth Netrapalli
37
150
0
29 Apr 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training
SWALP : Stochastic Weight Averaging in Low-Precision Training
Guandao Yang
Tianyi Zhang
Polina Kirichenko
Junwen Bai
A. Wilson
Christopher De Sa
24
94
0
26 Apr 2019
Bayesian Generative Active Deep Learning
Bayesian Generative Active Deep Learning
Toan M. Tran
Thanh-Toan Do
Ian Reid
G. Carneiro
27
135
0
26 Apr 2019
Unsupervised Label Noise Modeling and Loss Correction
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo Sanchez
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
44
603
0
25 Apr 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing
  Regularizers
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers
Kui Jia
Jiehong Lin
Mingkui Tan
Dacheng Tao
3DV
32
32
0
25 Apr 2019
Neural Collaborative Subspace Clustering
Neural Collaborative Subspace Clustering
Tong Zhang
Pan Ji
Mehrtash Harandi
Wen-bing Huang
Hongdong Li
19
72
0
24 Apr 2019
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
36
1,854
0
23 Apr 2019
Detecting inter-sectional accuracy differences in driver drowsiness
  detection algorithms
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms
Mkhuseli Ngxande
J. Tapamo
Michael G. Burke
30
12
0
23 Apr 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene
  Parsing, Depth Estimation, and More
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye
Yixin Ji
Xinchao Wang
Kairi Ou
Dapeng Tao
Xiuming Zhang
MoMe
24
75
0
23 Apr 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
46
999
0
22 Apr 2019
Fast User-Guided Video Object Segmentation by
  Interaction-and-Propagation Networks
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
Seoung Wug Oh
Joon-Young Lee
N. Xu
Seon Joo Kim
VOS
27
63
0
22 Apr 2019
Deep Parametric Shape Predictions using Distance Fields
Deep Parametric Shape Predictions using Distance Fields
Dmitriy Smirnov
Matthew Fisher
Vladimir G. Kim
Richard Y. Zhang
Justin Solomon
22
54
0
18 Apr 2019
Learning Interpretable Disentangled Representations using Adversarial
  VAEs
Learning Interpretable Disentangled Representations using Adversarial VAEs
Mhd Hasan Sarhan
Abouzar Eslami
Nassir Navab
Shadi Albarqouni
DRL
OOD
30
20
0
17 Apr 2019
RawNet: Advanced end-to-end deep neural network using raw waveforms for
  text-independent speaker verification
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
Jee-weon Jung
Hee-Soo Heo
Ju-ho Kim
Hye-jin Shim
Ha-Jin Yu
17
140
0
17 Apr 2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
Saurabh Singh
Abhinav Shrivastava
26
51
0
12 Apr 2019
A Selective Overview of Deep Learning
A Selective Overview of Deep Learning
Jianqing Fan
Cong Ma
Yiqiao Zhong
BDL
VLM
38
136
0
10 Apr 2019
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural
  Networks with Octave Convolution
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Yunpeng Chen
Haoqi Fan
Bing Xu
Zhicheng Yan
Yannis Kalantidis
Marcus Rohrbach
Shuicheng Yan
Jiashi Feng
53
552
0
10 Apr 2019
Every Local Minimum Value is the Global Minimum Value of Induced Model
  in Non-convex Machine Learning
Every Local Minimum Value is the Global Minimum Value of Induced Model in Non-convex Machine Learning
Kenji Kawaguchi
Jiaoyang Huang
L. Kaelbling
AAML
24
18
0
07 Apr 2019
On the Convergence Proof of AMSGrad and a New Version
On the Convergence Proof of AMSGrad and a New Version
Phuong T. Tran
L. T. Phong
ODL
24
87
0
07 Apr 2019
Effective and Efficient Dropout for Deep Convolutional Neural Networks
Effective and Efficient Dropout for Deep Convolutional Neural Networks
Shaofeng Cai
Jinyang Gao
Gang Chen
Beng Chin Ooi
Wei Wang
Meihui Zhang
BDL
18
53
0
06 Apr 2019
Evading Defenses to Transferable Adversarial Examples by
  Translation-Invariant Attacks
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
SILM
AAML
49
830
0
05 Apr 2019
Progressive Stochastic Binarization of Deep Networks
Progressive Stochastic Binarization of Deep Networks
David Hartmann
Michael Wand
MQ
17
1
0
03 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference
  Cost and Resource Constraints
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
Shaofeng Cai
Gang Chen
Beng Chin Ooi
Jinyang Gao
25
19
0
03 Apr 2019
Automatic diagnosis of the 12-lead ECG using a deep neural network
Automatic diagnosis of the 12-lead ECG using a deep neural network
Antônio H. Ribeiro
Manoel Horta Ribeiro
Gabriela M. M. Paixão
D. Oliveira
P. R. Gomes
...
Carl R. Andersson
P. Macfarlane
W. Meira Jr.
Thomas B. Schon
A. L. Ribeiro
30
648
0
02 Apr 2019
Video Object Segmentation using Space-Time Memory Networks
Video Object Segmentation using Space-Time Memory Networks
Seoung Wug Oh
Joon-Young Lee
N. Xu
Seon Joo Kim
VOS
23
702
0
01 Apr 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
38
1,285
0
01 Apr 2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption
  Alignment
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
Samyak Datta
Karan Sikka
Anirban Roy
Karuna Ahuja
Devi Parikh
Ajay Divakaran
22
103
0
27 Mar 2019
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection
  from Point Clouds
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds
Jie Zhou
Xin Tan
Z. Shao
Lizhuang Ma
3DPC
41
36
0
26 Mar 2019
Micro-Batch Training with Batch-Channel Normalization and Weight
  Standardization
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Siyuan Qiao
Huiyu Wang
Chenxi Liu
Wei Shen
Alan Yuille
MQ
32
144
0
25 Mar 2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven
  Learning
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning
Joseph Y. Cheng
Feiyu Chen
Christopher M. Sandino
Morteza Mardani
John M. Pauly
S. Vasanawala
21
12
0
19 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Kun Yi
Jianxin Wu
NoLa
36
410
0
19 Mar 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
51
2,003
0
15 Mar 2019
Cascaded Projection: End-to-End Network Compression and Acceleration
Cascaded Projection: End-to-End Network Compression and Acceleration
Breton L. Minnehan
Andreas E. Savakis
21
26
0
12 Mar 2019
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