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Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree

Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree

30 September 2015
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
    AI4CE
ArXivPDFHTML

Papers citing "Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree"

50 / 67 papers shown
Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
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
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
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
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
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
33
13
0
05 Apr 2022
Backpropagation Neural Tree
Backpropagation Neural Tree
Varun Ojha
Giuseppe Nicosia
BDL
28
14
0
04 Feb 2022
Learning strides in convolutional neural networks
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
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
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
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
LiftPool: Bidirectional ConvNet Pooling
Jiaojiao Zhao
Cees G. M. Snoek
8
19
0
02 Apr 2021
Refining activation downsampling with SoftPool
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
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
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
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
Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia
Hao Su
27
19
0
19 Nov 2019
Deep Generalized Max Pooling
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
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
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
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
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
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
Alpha-Integration Pooling for Convolutional Neural Networks
O. Elbagalati
Mustafa Hajij
28
3
0
08 Nov 2018
Hartley Spectral Pooling for Deep Learning
Hartley Spectral Pooling for Deep Learning
Huatian Zhang
Jianwei Ma
23
24
0
07 Oct 2018
Understanding Dropout as an Optimization Trick
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
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
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
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
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
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
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
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
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
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
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
Knowledge Projection for Deep Neural Networks
Zhi Zhang
G. Ning
Zhihai He
38
15
0
26 Oct 2017
Riemannian approach to batch normalization
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
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
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
GM-Net: Learning Features with More Efficiency
Yujia Chen
Ce Li
21
6
0
21 Jun 2017
Feature Incay for Representation Regularization
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
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
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
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
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
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
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
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
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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