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FractalNet: Ultra-Deep Neural Networks without Residuals

FractalNet: Ultra-Deep Neural Networks without Residuals

24 May 2016
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
ArXivPDFHTML

Papers citing "FractalNet: Ultra-Deep Neural Networks without Residuals"

47 / 97 papers shown
Title
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable
  Pruners
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners
Rob Geada
D. Prangle
A. Mcgough
3DPC
8
5
0
12 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
29
653
0
01 Jun 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
25
12,035
0
23 Apr 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
Duo Li
Qifeng Chen
120
19
0
24 Mar 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural
  Networks
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Yehui Tang
Yunhe Wang
Yixing Xu
Boxin Shi
Chao Xu
Chunjing Xu
Chang Xu
6
38
0
23 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
Chengyue Gong
Tongzheng Ren
Mao Ye
Qiang Liu
AAML
6
56
0
20 Feb 2020
Using Fractal Neural Networks to Play SimCity 1 and Conway's Game of
  Life at Variable Scales
Using Fractal Neural Networks to Play SimCity 1 and Conway's Game of Life at Variable Scales
Sam Earle
AI4CE
9
18
0
29 Jan 2020
GridMask Data Augmentation
GridMask Data Augmentation
Pengguang Chen
Shu-Lin Liu
Hengshuang Zhao
Xingquan Wang
Jiaya Jia
10
310
0
13 Jan 2020
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
11
93
0
23 Dec 2019
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
37
154
0
18 Nov 2019
ALERT: Accurate Learning for Energy and Timeliness
ALERT: Accurate Learning for Energy and Timeliness
Chengcheng Wan
M. Santriaji
E. Rogers
H. Hoffmann
Michael Maire
Shan Lu
AI4CE
27
40
0
31 Oct 2019
On Robustness of Neural Ordinary Differential Equations
On Robustness of Neural Ordinary Differential Equations
Hanshu Yan
Jiawei Du
Vincent Y. F. Tan
Jiashi Feng
OOD
19
138
0
12 Oct 2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image
  Classification by Evolving and Stacking Transferable Blocks
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Bin Wang
Bing Xue
Mengjie Zhang
16
50
0
29 Jul 2019
DropAttention: A Regularization Method for Fully-Connected
  Self-Attention Networks
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks
Zehui Lin
Pengfei Liu
Luyao Huang
Junkun Chen
Xipeng Qiu
Xuanjing Huang
3DPC
16
44
0
25 Jul 2019
XferNAS: Transfer Neural Architecture Search
XferNAS: Transfer Neural Architecture Search
Martin Wistuba
18
12
0
18 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
22
603
0
12 Jul 2019
A Review on Deep Learning in Medical Image Reconstruction
A Review on Deep Learning in Medical Image Reconstruction
Hai-Miao Zhang
Bin Dong
MedIm
21
122
0
23 Jun 2019
On Network Design Spaces for Visual Recognition
On Network Design Spaces for Visual Recognition
Ilija Radosavovic
Justin Johnson
Saining Xie
Wan-Yen Lo
Piotr Dollár
9
134
0
30 May 2019
A Review of Modularization Techniques in Artificial Neural Networks
A Review of Modularization Techniques in Artificial Neural Networks
Mohammed Amer
Tomás Maul
18
80
0
29 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
19
19
0
03 Apr 2019
Real-Time Steganalysis for Stream Media Based on Multi-channel
  Convolutional Sliding Windows
Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows
Zhongliang Yang
Hao Yang
Yuting Hu
Yongfeng Huang
Yujin Zhang
12
17
0
04 Feb 2019
ColorNet: Investigating the importance of color spaces for image
  classification
ColorNet: Investigating the importance of color spaces for image classification
Shreyank N. Gowda
C. Yuan
13
126
0
01 Feb 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Atin Sood
Benjamin Elder
Benjamin Herta
Chao Xue
C. Bekas
...
M. Choudhury
Rong Yan
R. Istrate
Ruchi Puri
Tejaswini Pedapati
SyDa
27
7
0
17 Jan 2019
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural Networks
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
30
21
0
22 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN
  Features with a Feature Selector
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Chen Du
Chunheng Wang
Yanna Wang
Cunzhao Shi
Baihua Xiao
14
42
0
15 Nov 2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep
  Net Training
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Youjie Li
Hang Qiu
Songze Li
A. Avestimehr
N. Kim
A. Schwing
FedML
16
103
0
08 Nov 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for
  Efficient Object Detection
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
Wenchi Ma
Yuanwei Wu
Zongbo Wang
Guanghui Wang
ObjD
14
25
0
06 Sep 2018
Understanding Dropout as an Optimization Trick
Understanding Dropout as an Optimization Trick
Sangchul Hahn
Heeyoul Choi
ODL
11
34
0
26 Jun 2018
Data augmentation instead of explicit regularization
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
30
141
0
11 Jun 2018
Local Critic Training of Deep Neural Networks
Local Critic Training of Deep Neural Networks
Hojung Lee
Jong-Seok Lee
15
8
0
03 May 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
8
104
0
17 Apr 2018
Deep Back-Projection Networks For Super-Resolution
Deep Back-Projection Networks For Super-Resolution
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
SupR
13
1,318
0
07 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
21
873
0
03 Mar 2018
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny
  Convolutional Networks
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Qiang Qiu
José Lezama
A. Bronstein
Guillermo Sapiro
18
8
0
22 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning
AOGNets: Compositional Grammatical Architectures for Deep Learning
Xilai Li
Xi Song
Tianfu Wu
29
25
0
15 Nov 2017
Pyramidal RoR for Image Classification
Pyramidal RoR for Image Classification
Ke Zhang
Liru Guo
Ce Gao
Zhenbing Zhao
30
20
0
01 Oct 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
25
81
0
10 Jul 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
J. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
24
935
0
01 Apr 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang
Danlu Chen
Tianhong Li
Felix Wu
L. V. D. van der Maaten
Kilian Q. Weinberger
VLM
22
137
0
29 Mar 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
11
181
0
06 Mar 2017
Multi-View 3D Object Detection Network for Autonomous Driving
Multi-View 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen
Huimin Ma
Ji Wan
Bo Li
Tian Xia
3DPC
30
2,752
0
23 Nov 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Xingcheng Zhang
Zhizhong Li
Chen Change Loy
Dahua Lin
MDE
27
259
0
17 Nov 2016
Understanding intermediate layers using linear classifier probes
Understanding intermediate layers using linear classifier probes
Guillaume Alain
Yoshua Bengio
FAtt
17
889
0
05 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,356
0
25 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
16
302
0
09 Aug 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
26
42,993
0
11 Feb 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
251
7,633
0
03 Jul 2012
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