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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
Efficient and Transferable Adversarial Examples from Bayesian Neural
  Networks
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
Martin Gubri
Maxime Cordy
Mike Papadakis
Yves Le Traon
Koushik Sen
AAML
151
11
0
10 Nov 2020
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient
  Filtering
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering
Ricky T. Q. Chen
Dami Choi
Lukas Balles
David Duvenaud
Philipp Hennig
ODL
91
6
0
09 Nov 2020
MPRNet: Multi-Path Residual Network for Lightweight Image Super
  Resolution
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution
Armin Mehri
P. B. Ardakani
A. Sappa
SupR
85
71
0
09 Nov 2020
On the Usefulness of Self-Attention for Automatic Speech Recognition
  with Transformers
On the Usefulness of Self-Attention for Automatic Speech Recognition with Transformers
Shucong Zhang
Erfan Loweimi
P. Bell
Steve Renals
87
38
0
08 Nov 2020
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement
  Disease Segmentation
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation
Yujia Zhang
Qianzhong Li
Xiaoguang Zhao
M. Tan
MedIm
51
6
0
07 Nov 2020
When Optimizing $f$-divergence is Robust with Label Noise
When Optimizing fff-divergence is Robust with Label Noise
Jiaheng Wei
Yang Liu
78
55
0
07 Nov 2020
A Two-Stage Cascade Model with Variational Autoencoders and Attention
  Gates for MRI Brain Tumor Segmentation
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation
Chenggang Lyu
Hai Shu
54
31
0
04 Nov 2020
DR-Unet104 for Multimodal MRI brain tumor segmentation
DR-Unet104 for Multimodal MRI brain tumor segmentation
Jordan Colman
Lei Zhang
Wenting Duan
Xujiong Ye
18
21
0
04 Nov 2020
Cross-Media Keyphrase Prediction: A Unified Framework with
  Multi-Modality Multi-Head Attention and Image Wordings
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Yue Wang
Jing Li
Michael R. Lyu
Irwin King
75
16
0
03 Nov 2020
Parameter Efficient Deep Neural Networks with Bilinear Projections
Parameter Efficient Deep Neural Networks with Bilinear Projections
Litao Yu
Yongsheng Gao
Jun Zhou
Jian Zhang
60
1
0
03 Nov 2020
An Information-Geometric Distance on the Space of Tasks
An Information-Geometric Distance on the Space of Tasks
Yansong Gao
Pratik Chaudhari
71
22
0
01 Nov 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural
  Networks
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Jianfei Chen
Yujie Gai
Z. Yao
Michael W. Mahoney
Joseph E. Gonzalez
MQ
73
59
0
27 Oct 2020
Out-of-core Training for Extremely Large-Scale Neural Networks With
  Adaptive Window-Based Scheduling
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling
Akio Hayakawa
T. Narihira
31
4
0
27 Oct 2020
Real-Time Edge Classification: Optimal Offloading under Token Bucket
  Constraints
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints
Ayan Chakrabarti
Roch Guérin
Chenyang Lu
Jiangnan Liu
47
16
0
26 Oct 2020
Multimodal Topic Learning for Video Recommendation
Multimodal Topic Learning for Video Recommendation
Shi Pu
Yijiang He
Zheng Li
Mao Zheng
55
8
0
26 Oct 2020
Accelerating Training of Transformer-Based Language Models with
  Progressive Layer Dropping
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping
Minjia Zhang
Yuxiong He
AI4CE
48
104
0
26 Oct 2020
ATRO: Adversarial Training with a Rejection Option
ATRO: Adversarial Training with a Rejection Option
Masahiro Kato
Zhenghang Cui
Yoshihiro Fukuhara
AAML
54
11
0
24 Oct 2020
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech
  Corpus
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus
Zining Zhang
Bingsheng He
Zhenjie Zhang
47
20
0
24 Oct 2020
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
Chaoning Zhang
Philipp Benz
Dawit Mureja Argaw
Seokju Lee
Junsik Kim
François Rameau
Jean-Charles Bazin
In So Kweon
92
115
0
23 Oct 2020
Towards Robust Neural Networks via Orthogonal Diversity
Towards Robust Neural Networks via Orthogonal Diversity
Kun Fang
Qinghua Tao
Yingwen Wu
Tao Li
Jia Cai
Feipeng Cai
Xiaolin Huang
Jie Yang
AAML
101
8
0
23 Oct 2020
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers
Lei Xu
Ivan Ramirez
K. Veeramachaneni
AAML
32
2
0
22 Oct 2020
Graph Attention Networks for Speaker Verification
Graph Attention Networks for Speaker Verification
Jee-weon Jung
Hee-Soo Heo
Ha-Jin Yu
Joon Son Chung
93
27
0
22 Oct 2020
Defense-guided Transferable Adversarial Attacks
Defense-guided Transferable Adversarial Attacks
Zifei Zhang
Kai Qiao
Jian Chen
Ningning Liang
AAML
28
0
0
22 Oct 2020
Real-time Speech Frequency Bandwidth Extension
Real-time Speech Frequency Bandwidth Extension
Yunpeng Li
Marco Tagliasacchi
Oleg Rybakov
Victor Ungureanu
Dominik Roblek
73
49
0
21 Oct 2020
Deep Low-Shot Learning for Biological Image Classification and
  Visualization from Limited Training Samples
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples
Lei Cai
Zhengyang Wang
Robert Kulathinal
Sudhir Kumar
Shuiwang Ji
17
6
0
20 Oct 2020
Robust Neural Networks inspired by Strong Stability Preserving
  Runge-Kutta methods
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods
Byungjoo Kim
Bryce Chudomelka
Jinyoung Park
Jaewoo Kang
Youngjoon Hong
Hyunwoo J. Kim
AAML
54
6
0
20 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
198
56
0
19 Oct 2020
Softer Pruning, Incremental Regularization
Softer Pruning, Incremental Regularization
Linhang Cai
Zhulin An
Chuanguang Yang
Yongjun Xu
61
17
0
19 Oct 2020
A Framework to Learn with Interpretation
A Framework to Learn with Interpretation
Jayneel Parekh
Pavlo Mozharovskyi
Florence dÁlché-Buc
AI4CEFAtt
80
30
0
19 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning
D2RL: Deep Dense Architectures in Reinforcement Learning
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
OffRLAI4CE
122
56
0
19 Oct 2020
Disguising Personal Identity Information in EEG Signals
Disguising Personal Identity Information in EEG Signals
Shiya Liu
Yue Yao
Chaoyue Xing
Tom Gedeon
45
2
0
18 Oct 2020
Input-Aware Dynamic Backdoor Attack
Input-Aware Dynamic Backdoor Attack
A. Nguyen
Anh Tran
AAML
131
438
0
16 Oct 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline
  Generalizers
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran
Behnam Neyshabur
Hanie Sedghi
OffRL
104
11
0
16 Oct 2020
Overfitting or Underfitting? Understand Robustness Drop in Adversarial
  Training
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Zichao Li
Liyuan Liu
Chengyu Dong
Jingbo Shang
AAML
77
8
0
15 Oct 2020
Neural Function Modules with Sparse Arguments: A Dynamic Approach to
  Integrating Information across Layers
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb
Anirudh Goyal
A. Slowik
Michael C. Mozer
Philippe Beaudoin
Yoshua Bengio
61
3
0
15 Oct 2020
Simultaneously forecasting global geomagnetic activity using Recurrent
  Networks
Simultaneously forecasting global geomagnetic activity using Recurrent Networks
C. Topliff
M. Cohen
W. Bristow
AI4ClAI4CE
18
3
0
13 Oct 2020
Garfield: System Support for Byzantine Machine Learning
Garfield: System Support for Byzantine Machine Learning
R. Guerraoui
Arsany Guirguis
El-Mahdi El-Mhamdi
Anton Alexandre Ragot
Sébastien Rouault
FedML
64
2
0
12 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng
Richong Zhang
Yongyi Mao
AAML
107
99
0
10 Oct 2020
How Does Mixup Help With Robustness and Generalization?
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
Amirata Ghorbani
James Zou
AAML
110
252
0
09 Oct 2020
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge
  Transfer
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
Mahdi Ghorbani
Fahimeh Fooladgar
S. Kasaei
AAML
53
0
0
09 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road
  Sign Recognition
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition
Xinghao Yang
Weifeng Liu
Shengli Zhang
Wei Liu
Dacheng Tao
AAML
45
30
0
09 Oct 2020
Revisiting Batch Normalization for Improving Corruption Robustness
Revisiting Batch Normalization for Improving Corruption Robustness
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
115
83
0
07 Oct 2020
Contour Primitive of Interest Extraction Network Based on One-Shot
  Learning for Object-Agnostic Vision Measurement
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement
Fangbo Qin
Jie Qin
Siyu Huang
De Xu
23
7
0
07 Oct 2020
Double Targeted Universal Adversarial Perturbations
Double Targeted Universal Adversarial Perturbations
Philipp Benz
Chaoning Zhang
Tooba Imtiaz
In So Kweon
AAML
95
48
0
07 Oct 2020
COVID-19 Classification Using Staked Ensembles: A Comprehensive Analysis
B. LalithBharadwaj
Rohit Boddeda
K. Vardhan
G. Madhu
28
1
0
07 Oct 2020
Visual Object Recognition in Indoor Environments Using Topologically
  Persistent Features
Visual Object Recognition in Indoor Environments Using Topologically Persistent Features
Ekta U. Samani
Xingjian Yang
A. Banerjee
73
14
0
07 Oct 2020
Representation learning from videos in-the-wild: An object-centric
  approach
Representation learning from videos in-the-wild: An object-centric approach
Rob Romijnders
Aravindh Mahendran
Michael Tschannen
Josip Djolonga
Marvin Ritter
N. Houlsby
Mario Lucic
OCLSSL
70
8
0
06 Oct 2020
Exploring the Interchangeability of CNN Embedding Spaces
Exploring the Interchangeability of CNN Embedding Spaces
David G. McNeely-White
Benjamin Sattelberg
Nathaniel Blanchard
Ross Beveridge
CVBM
46
1
0
05 Oct 2020
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian
  Fine-tuning
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning
Zhijie Deng
Jun Zhu
BDL
50
9
0
05 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
MQ
79
16
0
05 Oct 2020
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