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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 / 7,820 papers shown
Title
From paintbrush to pixel: A review of deep neural networks in
  AI-generated art
From paintbrush to pixel: A review of deep neural networks in AI-generated art
Anne-Sofie Maerten
Derya Soydaner
78
25
0
14 Feb 2023
Revisiting Weighted Aggregation in Federated Learning with Neural
  Networks
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li
Tao R. Lin
Xinyi Shang
Chao-Xiang Wu
FedML
102
64
0
14 Feb 2023
Stitchable Neural Networks
Stitchable Neural Networks
Zizheng Pan
Jianfei Cai
Bohan Zhuang
91
25
0
13 Feb 2023
A Deep Learning-based Global and Segmentation-based Semantic Feature
  Fusion Approach for Indoor Scene Classification
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
Ricardo Pereira
T. Barros
L. Garrote
Ana Lopes
U. J. Nunes
62
11
0
13 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDLUQCV
60
5
0
13 Feb 2023
Cross-Modal Fine-Tuning: Align then Refine
Cross-Modal Fine-Tuning: Align then Refine
Junhong Shen
Liam Li
Lucio Dery
Corey Staten
M. Khodak
Graham Neubig
Ameet Talwalkar
77
41
0
11 Feb 2023
Operation-level Progressive Differentiable Architecture Search
Operation-level Progressive Differentiable Architecture Search
Xunyu Zhu
Jian Li
Yong Liu
Weiping Wang
98
6
0
11 Feb 2023
Improving Differentiable Architecture Search via Self-Distillation
Improving Differentiable Architecture Search via Self-Distillation
Xunyu Zhu
Jian Li
Yong Liu
Weiping Wang
90
8
0
11 Feb 2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation
DNArch: Learning Convolutional Neural Architectures by Backpropagation
David W. Romero
Neil Zeghidour
AI4CE
49
4
0
10 Feb 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Christian Tomani
Futa Waseda
Yuesong Shen
Daniel Cremers
UQCV
47
5
0
10 Feb 2023
Text recognition on images using pre-trained CNN
Text recognition on images using pre-trained CNN
Afgani Fajar Rizky
N. Yudistira
Edy Santoso
VLM
69
4
0
10 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of
  Adversarial Examples
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
116
37
0
10 Feb 2023
Trading Information between Latents in Hierarchical Variational
  Autoencoders
Trading Information between Latents in Hierarchical Variational Autoencoders
Tim Z. Xiao
Robert Bamler
DRLBDL
39
6
0
09 Feb 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
Maor Ivgi
Oliver Hinder
Y. Carmon
ODL
154
66
0
08 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks:
  Breaking Transfer Learning Conventions
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
G. Pihlgren
Konstantina Nikolaidou
Prakash Chandra Chhipa
Nosheen Abid
Rajkumar Saini
Fredrik Sandin
Marcus Liwicki
89
10
0
08 Feb 2023
Convolutional Neural Networks Trained to Identify Words Provide a
  Surprisingly Good Account of Visual Form Priming Effects
Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects
Dong Yin
Valerio Biscione
J. Bowers
52
1
0
08 Feb 2023
Neural Artistic Style Transfer with Conditional Adversaria
Neural Artistic Style Transfer with Conditional Adversaria
P. N. Deelaka
GAN
101
2
0
08 Feb 2023
Linking convolutional kernel size to generalization bias in face
  analysis CNNs
Linking convolutional kernel size to generalization bias in face analysis CNNs
Hao Liang
J. O. Caro
Vikram Maheshri
Ankit B. Patel
Guha Balakrishnan
CVBMCML
54
0
0
07 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation
PAMI: partition input and aggregate outputs for model interpretation
Wei Shi
Wentao Zhang
Weishi Zheng
Ruixuan Wang
FAtt
104
3
0
07 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
104
33
0
06 Feb 2023
Variational Information Pursuit for Interpretable Predictions
Variational Information Pursuit for Interpretable Predictions
Aditya Chattopadhyay
Kwan Ho Ryan Chan
B. Haeffele
D. Geman
René Vidal
DRL
99
14
0
06 Feb 2023
Improving Domain Generalization with Domain Relations
Improving Domain Generalization with Domain Relations
Huaxiu Yao
Xinyu Yang
Xinyi Pan
Shengchao Liu
Pang Wei Koh
Chelsea Finn
OODAI4CE
101
10
0
06 Feb 2023
Exploiting Partial Common Information Microstructure for Multi-Modal
  Brain Tumor Segmentation
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation
Yongsheng Mei
Guru Venkataramani
Tian-Shing Lan
58
11
0
06 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAIMedIm
114
20
0
05 Feb 2023
Selecting the Best Optimizers for Deep Learning based Medical Image
  Segmentation
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation
Aliasghar Mortazi
V. Çiçek
Elif Keles
Ulas Bagci
52
12
0
05 Feb 2023
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
Jiawei Liu
Jinjun Peng
Yuyao Wang
Lingming Zhang
AI4CE
85
18
0
04 Feb 2023
Referential communication in heterogeneous communities of pre-trained
  visual deep networks
Referential communication in heterogeneous communities of pre-trained visual deep networks
Matéo Mahaut
Francesca Franzon
Roberto Dessì
Marco Baroni
63
7
0
04 Feb 2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
Coen de Vente
Koen A. Vermeer
Nicolas Jaccard
He Wang
Hongyi Sun
...
Abdul Qayyum
Imran Razzak
Bram van Ginneken
H. Lemij
Clara I. Sánchez
129
57
0
03 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI
  models in medical imaging
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
110
24
0
03 Feb 2023
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network
  Architecture
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Sayandeep Saha
84
6
0
03 Feb 2023
Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image
  Fusion
Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion
Yiming Sun
Bing Cao
Pengfei Zhu
Qinghua Hu
MoE
82
36
0
02 Feb 2023
High-precision regressors for particle physics
High-precision regressors for particle physics
F. Bishara
A. Paul
Jennifer Dy
PINNAI4CE
70
1
0
02 Feb 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with
  Precondition
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
Yucheng Lu
Shivani Agrawal
Suvinay Subramanian
Oleg Rybakov
Chris De Sa
Amir Yazdanbakhsh
63
20
0
02 Feb 2023
Longformer: Longitudinal Transformer for Alzheimer's Disease
  Classification with Structural MRIs
Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs
Qiu-hui Chen
Yi Hong
MedIm
49
12
0
02 Feb 2023
Toward Physically Plausible Data-Driven Models: A Novel Neural Network
  Approach to Symbolic Regression
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression
Jiří Kubalík
Erik Derner
Robert Babuška
69
12
0
01 Feb 2023
A Survey of Deep Learning: From Activations to Transformers
A Survey of Deep Learning: From Activations to Transformers
Johannes Schneider
Michalis Vlachos
ViTMedImAI4TSAI4CE
112
10
0
01 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
127
14
0
01 Feb 2023
Continuous U-Net: Faster, Greater and Noiseless
Continuous U-Net: Faster, Greater and Noiseless
Chunyang Cheng
Christina Runkel
Lihao Liu
Raymond H. F. Chan
Carola-Bibiane Schönlieb
Angelica I Aviles-Rivero
SSeg
72
10
0
01 Feb 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained
  Classification
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
Kanishk Jain
Shyamgopal Karthik
Vineet Gandhi
44
6
0
01 Feb 2023
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for
  Intracranial Hemorrhage Detection
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection
Yassine Barhoumi
N. Bouaynaya
Ghulam Rasool
MedIm
41
5
0
01 Feb 2023
Weight Prediction Boosts the Convergence of AdamW
Weight Prediction Boosts the Convergence of AdamW
Lei Guan
97
19
0
01 Feb 2023
Real Estate Property Valuation using Self-Supervised Vision Transformers
Real Estate Property Valuation using Self-Supervised Vision Transformers
Mahdieh Yazdani
M. Raissi
ViT
51
1
0
31 Jan 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons
  with Compression
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Zhuoran Liu
Zhengyu Zhao
Martha Larson
81
37
0
31 Jan 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAMLBDL
58
0
0
31 Jan 2023
Review of methods for automatic cerebral microbleeds detection
Review of methods for automatic cerebral microbleeds detection
M. Ferlin
Zuzanna Klawikowska
M. Grochowski
Malgorzata Grzywiñska
E. Szurowska
30
0
0
31 Jan 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
50
2
0
31 Jan 2023
Rethinking Soft Label in Label Distribution Learning Perspective
Rethinking Soft Label in Label Distribution Learning Perspective
Seungbum Hong
Jihun Yoon
Bogyu Park
Min-Kook Choi
63
0
0
31 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual
  Example
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
62
3
0
30 Jan 2023
DepGraph: Towards Any Structural Pruning
DepGraph: Towards Any Structural Pruning
Gongfan Fang
Xinyin Ma
Mingli Song
Michael Bi Mi
Xinchao Wang
GNN
167
272
0
30 Jan 2023
Deep networks for system identification: a Survey
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
98
44
0
30 Jan 2023
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