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Densely Connected Convolutional Networks
v1v2v3v4v5 (latest)

Densely Connected Convolutional Networks

25 August 2016
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
    PINN3DV
ArXiv (abs)PDFHTMLGithub (4813★)

Papers citing "Densely Connected Convolutional Networks"

50 / 7,886 papers shown
Title
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang
Guo Zhang
Dina Katabi
Zhi Xu
AAML
100
171
0
28 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
270
18,321
0
28 May 2019
Cross-Domain Transferability of Adversarial Perturbations
Cross-Domain Transferability of Adversarial Perturbations
Muzammal Naseer
Salman H. Khan
M. H. Khan
Fahad Shahbaz Khan
Fatih Porikli
AAML
115
145
0
28 May 2019
A Graph Theoretic Framework of Recomputation Algorithms for
  Memory-Efficient Backpropagation
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
M. Kusumoto
Takuya Inoue
G. Watanabe
Takuya Akiba
Masanori Koyama
59
39
0
28 May 2019
Deep Scale-spaces: Equivariance Over Scale
Deep Scale-spaces: Equivariance Over Scale
Daniel E. Worrall
Max Welling
BDL
76
167
0
28 May 2019
EEG-based Emotional Video Classification via Learning Connectivity
  Structure
EEG-based Emotional Video Classification via Learning Connectivity Structure
Soobeom Jang
Seong-Eun Moon
Jong-Seok Lee
31
16
0
28 May 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
  Networks
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li
Q. Qi
Jingyu Wang
Ce Ge
Yujian Betterest Li
Zhangzhang Yue
Haifeng Sun
BDLCML
101
53
0
28 May 2019
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient
  Models
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang
Zhanhong Tan
Jiebo Song
Jingwei Chen
Chenglong Bao
Kaisheng Ma
55
71
0
27 May 2019
Natural Compression for Distributed Deep Learning
Natural Compression for Distributed Deep Learning
Samuel Horváth
Chen-Yu Ho
L. Horvath
Atal Narayan Sahu
Marco Canini
Peter Richtárik
99
152
0
27 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing
  general artificial intelligence
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
144
122
0
27 May 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real
  Datasets
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets
Guy Hacohen
Leshem Choshen
D. Weinshall
AI4TSOOD
120
57
0
26 May 2019
A Survey on Biomedical Image Captioning
A Survey on Biomedical Image Captioning
Vasiliki Kougia
John Pavlopoulos
Ion Androutsopoulos
MedIm
81
83
0
26 May 2019
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation
Jihun Yun
A. Lozano
Eunho Yang
ODL
27
4
0
26 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and
  Temporal-Guided Embedding
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Doyup Lee
Suehun Jung
Yeongjae Cheon
Dongil Kim
Seungil You
AI4TS
51
6
0
26 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Farshid Varno
Behrouz Haji Soleimani
Marzie Saghayi
Di-Jorio Lisa
Stan Matwin
AAML
34
6
0
25 May 2019
Exploring Temporal Information for Improved Video Understanding
Exploring Temporal Information for Improved Video Understanding
Yi Zhu
54
0
0
25 May 2019
Unsupervised Single Image Underwater Depth Estimation
Unsupervised Single Image Underwater Depth Estimation
Honey Gupta
Kaushik Mitra
71
44
0
25 May 2019
Domain Adaptive Attention Learning for Unsupervised Person
  Re-Identification
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
Yangru Huang
Peixi Peng
Yi Jin
Yidong Li
Junliang Xing
Shiming Ge
OOD
83
41
0
25 May 2019
Enhancing Adversarial Defense by k-Winners-Take-All
Enhancing Adversarial Defense by k-Winners-Take-All
Chang Xiao
Peilin Zhong
Changxi Zheng
AAML
80
99
0
25 May 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
139
1,074
0
24 May 2019
Learning to learn via Self-Critique
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
98
17
0
24 May 2019
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Thanh-Dat Truong
Khoa Luu
C. Duong
Ngan Le
M. Tran
78
7
0
24 May 2019
Pose-adaptive Hierarchical Attention Network for Facial Expression
  Recognition
Pose-adaptive Hierarchical Attention Network for Facial Expression Recognition
Yuanyuan Liu
Jiyao Peng
Jiabei Zeng
Shiguang Shan
CVBM
69
16
0
24 May 2019
Not All Features Are Equal: Feature Leveling Deep Neural Networks for
  Better Interpretation
Not All Features Are Equal: Feature Leveling Deep Neural Networks for Better Interpretation
Yingjing Lu
Runde Yang
MILM
36
2
0
24 May 2019
Painless Stochastic Gradient: Interpolation, Line-Search, and
  Convergence Rates
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani
Aaron Mishkin
I. Laradji
Mark Schmidt
Gauthier Gidel
Simon Lacoste-Julien
ODL
111
210
0
24 May 2019
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel
  Orange
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange
Xiaoye Sun
Gongyang Li
Shaoyun Xu
43
3
0
24 May 2019
Network Pruning via Transformable Architecture Search
Network Pruning via Transformable Architecture Search
Xuanyi Dong
Yi Yang
3DPC
81
243
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
93
196
0
23 May 2019
WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution
  Network
WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution Network
Boyuan Ma
Chuni Liu
Xiaoyan Wei
Hao Wang
Weihua Xue
Haiyou Huang
24
16
0
22 May 2019
A Comprehensive Study of ImageNet Pre-Training for Historical Document
  Image Analysis
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis
Linda Studer
Michele Alberti
Vinaychandran Pondenkandath
Pinar Goktepe
Thomas Kolonko
Andreas Fischer
Marcus Liwicki
Rolf Ingold
VLM
160
52
0
22 May 2019
Fine-grained Optimization of Deep Neural Networks
Fine-grained Optimization of Deep Neural Networks
Mete Ozay
ODL
59
2
0
22 May 2019
Learning to Confuse: Generating Training Time Adversarial Data with
  Auto-Encoder
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Ji Feng
Qi-Zhi Cai
Zhi Zhou
AAML
68
105
0
22 May 2019
Dual-branch residual network for lung nodule segmentation
Dual-branch residual network for lung nodule segmentation
Haichao Cao
Hong Liu
E. Song
C. Hung
Guangzhi Ma
Xiangyang Xu
Renchao Jin
Jianguo Lu
40
110
0
21 May 2019
Deep Transfer Learning Methods for Colon Cancer Classification in
  Confocal Laser Microscopy Images
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images
N. Gessert
M. Bengs
L. Wittig
D. Drömann
T. Keck
Alexander Schlaefer
D. Ellebrecht
52
32
0
20 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
114
18
0
19 May 2019
Multinomial Distribution Learning for Effective Neural Architecture
  Search
Multinomial Distribution Learning for Effective Neural Architecture Search
Xiawu Zheng
Rongrong Ji
Lang Tang
Baochang Zhang
Jianzhuang Liu
Q. Tian
96
91
0
18 May 2019
AutoDispNet: Improving Disparity Estimation With AutoML
AutoDispNet: Improving Disparity Estimation With AutoML
Tonmoy Saikia
Yassine Marrakchi
Arber Zela
Frank Hutter
Thomas Brox
109
79
0
17 May 2019
Integer Discrete Flows and Lossless Compression
Integer Discrete Flows and Lossless Compression
Emiel Hoogeboom
Jorn W. T. Peters
Rianne van den Berg
Max Welling
165
160
0
17 May 2019
EmBench: Quantifying Performance Variations of Deep Neural Networks
  across Modern Commodity Devices
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
Mario Almeida
Stefanos Laskaridis
Ilias Leontiadis
Stylianos I. Venieris
Nicholas D. Lane
53
74
0
17 May 2019
Simple Black-box Adversarial Attacks
Simple Black-box Adversarial Attacks
Chuan Guo
Jacob R. Gardner
Yurong You
A. Wilson
Kilian Q. Weinberger
AAML
78
581
0
17 May 2019
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative
  Adversarial Networks
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Xingde Ying
Heng Guo
Kai Ma
Jian Wu
Z. Weng
Yefeng Zheng
GANMedIm
72
197
0
16 May 2019
An Information Theoretic Interpretation to Deep Neural Networks
An Information Theoretic Interpretation to Deep Neural Networks
Shao-Lun Huang
Xiangxiang Xu
Lizhong Zheng
G. Wornell
FAtt
95
44
0
16 May 2019
FH-GAN: Face Hallucination and Recognition using Generative Adversarial
  Network
FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network
Bayram Bayramli
Usman Ali
Te Qi
Hongtao Lu
CVBMPICV
70
10
0
16 May 2019
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma,
  glaucoma suspect, and normal eyes
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
Tae Joon Jun
Y. Eom
Dohyeun Kim
Cherry Kim
Ji-Hye Park
Hoang Minh Nguyen
Daeyoung Kim
MedIm
37
28
0
16 May 2019
Dynamic Neural Network Channel Execution for Efficient Training
Dynamic Neural Network Channel Execution for Efficient Training
Simeon E. Spasov
Pietro Lio
49
4
0
15 May 2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy
  Labels
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
Sebastian Gündel
Florin-Cristian Ghesu
Sasa Grbic
Eli Gibson
Bogdan Georgescu
Andreas Maier
Dorin Comaniciu
70
25
0
15 May 2019
Differentiable Linearized ADMM
Differentiable Linearized ADMM
Xingyu Xie
Jianlong Wu
Zhisheng Zhong
Guangcan Liu
Zhouchen Lin
74
62
0
15 May 2019
Demographic Inference and Representative Population Estimates from
  Multilingual Social Media Data
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data
Zijian Wang
Scott A. Hale
David Ifeoluwa Adelani
Przemyslaw A. Grabowicz
Timo Hartmann
Fabian Flöck
David Jurgens
42
209
0
15 May 2019
Orthogonal Deep Neural Networks
Orthogonal Deep Neural Networks
Kui Jia
Shuai Li
Yuxin Wen
Tongliang Liu
Dacheng Tao
102
134
0
15 May 2019
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu
Wenjie Huang
Ali Shafahi
Hengduo Li
Gavin Taylor
Christoph Studer
Tom Goldstein
123
285
0
15 May 2019
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