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1509.08985
Cited By
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
30 September 2015
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
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Papers citing
"Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree"
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Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov
Loic Le Folgoc
Julien Adam
Anne Buronfosse
Gilles Hayem
Guillaume Hocquet
Pietro Gori
SSL
45
0
0
02 May 2025
Pruning Distorted Images in MNIST Handwritten Digits
Amarnath R
Vinay Kumar
23
1
0
26 May 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
Hongteng Xu
Minjie Cheng
36
4
0
13 Dec 2022
Self-Attentive Pooling for Efficient Deep Learning
Fang Chen
Gourav Datta
Souvik Kundu
P. Beerel
82
6
0
16 Sep 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
33
13
0
05 Apr 2022
Backpropagation Neural Tree
Varun Ojha
Giuseppe Nicosia
BDL
28
14
0
04 Feb 2022
Learning strides in convolutional neural networks
Rachid Riad
O. Teboul
David Grangier
Neil Zeghidour
36
41
0
03 Feb 2022
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
Alexandros Stergiou
R. Poppe
36
78
0
01 Nov 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Zhendong Zhang
OOD
21
5
0
24 Sep 2021
Learning to Pool in Graph Neural Networks for Extrapolation
Jihoon Ko
Taehyung Kwon
Kijung Shin
Juho Lee
21
6
0
11 Jun 2021
LiftPool: Bidirectional ConvNet Pooling
Jiaojiao Zhao
Cees G. M. Snoek
8
19
0
02 Apr 2021
Refining activation downsampling with SoftPool
Alexandros Stergiou
R. Poppe
Grigorios Kalliatakis
32
158
0
02 Jan 2021
Unravelling Small Sample Size Problems in the Deep Learning World
Rohit Keshari
Soumyadeep Ghosh
S. Chhabra
Mayank Vatsa
Richa Singh
45
33
0
08 Aug 2020
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
18
174
0
02 Jun 2020
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
GNN
27
653
0
12 Apr 2020
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data
Azizjon Meliboev
Jumabek Alikhanov
Wooseong Kim
11
142
0
01 Mar 2020
Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia
Hao Su
27
19
0
19 Nov 2019
Deep Generalized Max Pooling
Vincent Christlein
Lukas Spranger
Mathias Seuret
Anguelos Nicolaou
Pavel Král
Andreas Maier
FAtt
24
81
0
14 Aug 2019
LIP: Local Importance-based Pooling
Ziteng Gao
Limin Wang
Gangshan Wu
FAtt
37
94
0
12 Aug 2019
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
H. Perez
J. Tah
Amir H. Mosavi
15
194
0
06 Aug 2019
Remote Sensor Design for Visual Recognition with Convolutional Neural Networks
Lucas Jaffe
M. Zelinski
W. Sakla
19
14
0
24 Jun 2019
Striking the Right Balance with Uncertainty
Salman Khan
Munawar Hayat
Waqas Zamir
Jianbing Shen
Ling Shao
25
174
0
22 Jan 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
65
2,268
0
17 Jan 2019
Alpha-Integration Pooling for Convolutional Neural Networks
O. Elbagalati
Mustafa Hajij
28
3
0
08 Nov 2018
Hartley Spectral Pooling for Deep Learning
Huatian Zhang
Jianwei Ma
23
24
0
07 Oct 2018
Understanding Dropout as an Optimization Trick
Sangchul Hahn
Heeyoul Choi
ODL
13
34
0
26 Jun 2018
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Partha Ghosh
Arpan Losalka
Michael J. Black
AAML
21
77
0
31 May 2018
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
58
90
0
11 Apr 2018
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu
Zhangling Chen
Jun Wang
Hua-Ming Wu
35
10
0
07 Mar 2018
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
29
873
0
03 Mar 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
24
12
0
28 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 Feb 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
Rohit Tripathy
Ilias Bilionis
AI4CE
18
403
0
02 Feb 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Per-Arne Andersen
18
16
0
29 Jan 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
36
626
0
26 Nov 2017
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
36
1,288
0
03 Nov 2017
Knowledge Projection for Deep Neural Networks
Zhi Zhang
G. Ning
Zhihai He
38
15
0
26 Oct 2017
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
29
93
0
27 Sep 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen
Weihong Deng
Junping Du
25
125
0
12 Aug 2017
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition
Tianyi Zhao
Jun-chen Yu
Zhenzhong Kuang
Wei Zhang
Jianping Fan
MoE
32
13
0
24 Jun 2017
GM-Net: Learning Features with More Efficiency
Yujia Chen
Ce Li
21
6
0
21 Jun 2017
Feature Incay for Representation Regularization
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
35
16
0
29 May 2017
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
26
171
0
27 Mar 2017
SORT: Second-Order Response Transform for Visual Recognition
Yan Wang
Lingxi Xie
Chenxi Liu
Ya Zhang
Wenjun Zhang
Alan Yuille
25
53
0
20 Mar 2017
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
53
836
0
04 Mar 2017
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
38
147
0
25 Jan 2017
Oriented Response Networks
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
18
259
0
07 Jan 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
24
1,451
0
07 Dec 2016
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
24
129
0
01 Dec 2016
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga
Ola S. Ali
Hager Rady
Mohamed Moustafa
FedML
18
65
0
15 Nov 2016
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