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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 / 1,564 papers shown
Title
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
Anders Andreassen
Yasaman Bahri
Behnam Neyshabur
Rebecca Roelofs
OOD
OODD
33
79
0
30 Jun 2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and
  Recovery Policies
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
Priya Sundaresan
J. Grannen
Brijen Thananjeyan
Ashwin Balakrishna
Jeffrey Ichnowski
Ellen R. Novoseller
M. Hwang
Michael Laskey
Joseph E. Gonzalez
Ken Goldberg
11
25
0
29 Jun 2021
Revisiting Deep Learning Models for Tabular Data
Revisiting Deep Learning Models for Tabular Data
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
LMTD
48
703
0
22 Jun 2021
Stochastic Polyak Stepsize with a Moving Target
Stochastic Polyak Stepsize with a Moving Target
Robert Mansel Gower
Aaron Defazio
Michael G. Rabbat
37
17
0
22 Jun 2021
DocFormer: End-to-End Transformer for Document Understanding
DocFormer: End-to-End Transformer for Document Understanding
Srikar Appalaraju
Bhavan A. Jasani
Bhargava Urala Kota
Yusheng Xie
R. Manmatha
ViT
41
273
0
22 Jun 2021
Accumulative Poisoning Attacks on Real-time Data
Accumulative Poisoning Attacks on Real-time Data
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
37
20
0
18 Jun 2021
Deep HDR Hallucination for Inverse Tone Mapping
Deep HDR Hallucination for Inverse Tone Mapping
Demetris Marnerides
Thomas Bashford-Rogers
Kurt Debattista
27
16
0
17 Jun 2021
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers
M. Zanfir
Andrei Zanfir
Eduard Gabriel Bazavan
William T. Freeman
Rahul Sukthankar
C. Sminchisescu
3DH
31
65
0
17 Jun 2021
A Winning Hand: Compressing Deep Networks Can Improve
  Out-Of-Distribution Robustness
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
James Diffenderfer
Brian Bartoldson
Shreya Chaganti
Jize Zhang
B. Kailkhura
OOD
31
69
0
16 Jun 2021
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network
  for Disease Prediction
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
Hao Chen
Fuzhen Zhuang
Li Xiao
Ling Ma
Haiyan Liu
Ruifang Zhang
Huiqin Jiang
Qing He
29
14
0
16 Jun 2021
Understanding and Evaluating Racial Biases in Image Captioning
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao
Angelina Wang
Olga Russakovsky
30
134
0
16 Jun 2021
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
51
358
0
15 Jun 2021
SoundDet: Polyphonic Moving Sound Event Detection and Localization from
  Raw Waveform
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
Yuhang He
A. Trigoni
Andrew Markham
34
19
0
13 Jun 2021
Robust Knowledge Graph Completion with Stacked Convolutions and a
  Student Re-Ranking Network
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
Justin Lovelace
Denis R. Newman-Griffis
Shikhar Vashishth
J. Lehman
Carolyn Rose
OffRL
28
31
0
11 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Yue Liu
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
37
106
0
11 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie
Imanol Schlag
Róbert Csordás
Jürgen Schmidhuber
33
57
0
11 Jun 2021
Data augmentation in Bayesian neural networks and the cold posterior
  effect
Data augmentation in Bayesian neural networks and the cold posterior effect
Seth Nabarro
Stoil Ganev
Adrià Garriga-Alonso
Vincent Fortuin
Mark van der Wilk
Laurence Aitchison
BDL
34
37
0
10 Jun 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
ViT
49
1,172
0
09 Jun 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
  Adaptation
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
29
136
0
08 Jun 2021
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width
  Limit at Initialization
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization
Mufan Li
Mihai Nica
Daniel M. Roy
43
33
0
07 Jun 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the
  Order of Reasoning
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning
Piotr Pikekos
Henryk Michalewski
Mateusz Malinowski
35
28
0
07 Jun 2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Kefan Chen
Noah Snavely
A. Makadia
3DH
40
57
0
07 Jun 2021
Stochastic Whitening Batch Normalization
Stochastic Whitening Batch Normalization
Shengdong Zhang
E. Nezhadarya
H. Fashandi
Jiayi Liu
Darin Graham
Mohak Shah
21
10
0
03 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for
  Targeted Transfer Attacks
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Jacob Mitchell Springer
Melanie Mitchell
Garrett Kenyon
AAML
36
43
0
03 Jun 2021
ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern
  Recognition
ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition
S. Verbitskiy
Vladimir Berikov
Viacheslav Vyshegorodtsev
24
73
0
03 Jun 2021
Choose a Transformer: Fourier or Galerkin
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
47
227
0
31 May 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for
  Speed-Accuracy Optimization
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
Taiki Miyagawa
Akinori F. Ebihara
25
3
0
28 May 2021
Receptive Field Regularization Techniques for Audio Classification and
  Tagging with Deep Convolutional Neural Networks
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks
Khaled Koutini
Hamid Eghbalzadeh
Gerhard Widmer
36
46
0
26 May 2021
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep
  Spiking Neural Networks
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Jianhao Ding
Zhaofei Yu
Yonghong Tian
Tiejun Huang
33
153
0
25 May 2021
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on
  the Fly
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Yuchen Jin
Dinesh Manocha
Liangyu Zhao
Yibo Zhu
Chuanxiong Guo
Marco Canini
Arvind Krishnamurthy
42
18
0
22 May 2021
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell
  Segmentation
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation
Yinglin Zhang
Risa Higashita
Huazhu Fu
Yanwu Xu
Yang Zhang
Haofeng Liu
Jian Zhang
Jiang-Dong Liu
ViT
MedIm
23
51
0
21 May 2021
Deep Kronecker neural networks: A general framework for neural networks
  with adaptive activation functions
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions
Ameya Dilip Jagtap
Yeonjong Shin
Kenji Kawaguchi
George Karniadakis
ODL
45
131
0
20 May 2021
Computational Morphology with Neural Network Approaches
Computational Morphology with Neural Network Approaches
Ling Liu
AI4CE
34
8
0
19 May 2021
Compressed Communication for Distributed Training: Adaptive Methods and
  System
Compressed Communication for Distributed Training: Adaptive Methods and System
Yuchen Zhong
Cong Xie
Shuai Zheng
Yanghua Peng
48
9
0
17 May 2021
Vision Transformers are Robust Learners
Vision Transformers are Robust Learners
Sayak Paul
Pin-Yu Chen
ViT
28
309
0
17 May 2021
Agatha: Smart Contract for DNN Computation
Agatha: Smart Contract for DNN Computation
Zihan Zheng
Peichen Xie
Xian Zhang
Shuo Chen
Yang Chen
Xiaobing Guo
Guangzhong Sun
Guangyu Sun
Lidong Zhou
GNN
31
11
0
11 May 2021
ReLU Deep Neural Networks from the Hierarchical Basis Perspective
ReLU Deep Neural Networks from the Hierarchical Basis Perspective
Juncai He
Lin Li
Jinchao Xu
AI4CE
28
30
0
10 May 2021
ResMLP: Feedforward networks for image classification with
  data-efficient training
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron
Piotr Bojanowski
Mathilde Caron
Matthieu Cord
Alaaeldin El-Nouby
...
Gautier Izacard
Armand Joulin
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
VLM
43
656
0
07 May 2021
Classification of Urban Morphology with Deep Learning: Application on
  Urban Vitality
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
Wangyang Chen
Abraham Noah Wu
Filip Biljecki
31
98
0
07 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic
  Space
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang
Yixuan Li
OODD
39
237
0
05 May 2021
PAN++: Towards Efficient and Accurate End-to-End Spotting of
  Arbitrarily-Shaped Text
PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text
Wenhai Wang
Enze Xie
Xiang Li
Xuebo Liu
Ding Liang
Yang Zhibo
Tong Lu
Chunhua Shen
36
142
0
02 May 2021
AI-enabled Efficient and Safe Food Supply Chain
AI-enabled Efficient and Safe Food Supply Chain
I. Kollia
J. Stevenson
Stefanos D. Kollias
27
30
0
01 May 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and
  Nonlocal Effects
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
Oliver T. Unke
Stefan Chmiela
M. Gastegger
Kristof T. Schütt
H. E. Sauceda
K. Müller
185
248
0
01 May 2021
NTIRE 2021 Challenge on Image Deblurring
NTIRE 2021 Challenge on Image Deblurring
Seungjun Nah
Sanghyun Son
Suyoung Lee
Radu Timofte
Kyoung Mu Lee
SupR
28
82
0
30 Apr 2021
ActNN: Reducing Training Memory Footprint via 2-Bit Activation
  Compressed Training
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Jianfei Chen
Lianmin Zheng
Z. Yao
Dequan Wang
Ion Stoica
Michael W. Mahoney
Joseph E. Gonzalez
MQ
32
74
0
29 Apr 2021
ConTNet: Why not use convolution and transformer at the same time?
ConTNet: Why not use convolution and transformer at the same time?
Haotian Yan
Zhe Li
Weijian Li
Changhu Wang
Ming Wu
Chuang Zhang
ViT
20
76
0
27 Apr 2021
BeamLearning: an end-to-end Deep Learning approach for the angular
  localization of sound sources using raw multichannel acoustic pressure data
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data
Hadrien Pujol
Éric Bavu
Alexandre Garcia
44
22
0
27 Apr 2021
Rethinking BiSeNet For Real-time Semantic Segmentation
Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan
Shenqi Lai
Junshi Huang
Xiaoming Wei
Z. Chai
Junfeng Luo
Xiaolin K. Wei
SSeg
48
470
0
27 Apr 2021
Exploring Uncertainty in Deep Learning for Construction of Prediction
  Intervals
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
Yuandu Lai
Yucheng Shi
Yahong Han
Yunfeng Shao
Meiyu Qi
Bingshuai Li
UQCV
41
15
0
27 Apr 2021
A Survey of Modern Deep Learning based Object Detection Models
A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi
M. S. Ansari
Asra Aslam
N. Kanwal
M. Asghar
Brian Lee
VLM
ObjD
74
732
0
24 Apr 2021
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