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Maxout Networks

Maxout Networks

18 February 2013
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
    OOD
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Papers citing "Maxout Networks"

50 / 810 papers shown
Title
Scheduled DropHead: A Regularization Method for Transformer Models
Scheduled DropHead: A Regularization Method for Transformer Models
Wangchunshu Zhou
Tao Ge
Ke Xu
Furu Wei
Ming Zhou
17
36
0
28 Apr 2020
ALCN: Adaptive Local Contrast Normalization
ALCN: Adaptive Local Contrast Normalization
Mahdi Rad
P. Roth
Vincent Lepetit
11
7
0
15 Apr 2020
Regularizing Meta-Learning via Gradient Dropout
Regularizing Meta-Learning via Gradient Dropout
Hung-Yu Tseng
Yi-Wen Chen
Yi-Hsuan Tsai
Sifei Liu
Yen-Yu Lin
Ming-Hsuan Yang
14
34
0
13 Apr 2020
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs
Jun Chen
L. Liu
Yong Liu
Xianfang Zeng
MQ
26
26
0
06 Apr 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
Duo Li
Qifeng Chen
153
19
0
24 Mar 2020
Dynamic ReLU
Dynamic ReLU
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
177
162
0
22 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu
Hong Zhu
AAML
21
520
0
12 Mar 2020
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly
  Convolutional Neural Network
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network
Wonchul Son
Youngbin Kim
Wonseok Song
Youngsuk Moon
Wonjun Hwang
9
0
0
09 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural
  Architecture Search
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang
Yaochu Jin
Ran Cheng
K. Hao
26
8
0
07 Mar 2020
Neural Kernels Without Tangents
Neural Kernels Without Tangents
Vaishaal Shankar
Alex Fang
Wenshuo Guo
Sara Fridovich-Keil
Ludwig Schmidt
Jonathan Ragan-Kelley
Benjamin Recht
22
90
0
04 Mar 2020
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized
  Neural Networks
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks
Jun Chen
Yong Liu
Hao Zhang
Shengnan Hou
Jian Yang
MQ
25
7
0
04 Mar 2020
Soft-Root-Sign Activation Function
Soft-Root-Sign Activation Function
Yuan Zhou
Dandan Li
Shuwei Huo
S. Kung
ODL
22
25
0
01 Mar 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
32
300
0
11 Feb 2020
Non-linear Neurons with Human-like Apical Dendrite Activations
Non-linear Neurons with Human-like Apical Dendrite Activations
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Nicolae-Cătălin Ristea
N. Sebe
13
19
0
02 Feb 2020
Dense Residual Network: Enhancing Global Dense Feature Flow for
  Character Recognition
Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition
Zhao Zhang
Zemin Tang
Yang Wang
Jie Qin
Choujun Zhan
Zhengjun Zha
Shuicheng Yan
28
0
0
23 Jan 2020
Convolutional Networks with Dense Connectivity
Convolutional Networks with Dense Connectivity
Gao Huang
Zhuang Liu
Geoff Pleiss
L. V. D. van der Maaten
Kilian Q. Weinberger
3DV
24
440
0
08 Jan 2020
Cooperative Initialization based Deep Neural Network Training
Cooperative Initialization based Deep Neural Network Training
Pravendra Singh
Munender Varshney
Vinay P. Namboodiri
ODL
25
14
0
05 Jan 2020
Lossless Compression of Deep Neural Networks
Lossless Compression of Deep Neural Networks
Thiago Serra
Abhinav Kumar
Srikumar Ramalingam
24
56
0
01 Jan 2020
A Deep Neuro-Fuzzy Network for Image Classification
A Deep Neuro-Fuzzy Network for Image Classification
Omolbanin Yazdanbakhsh
S. Dick
14
22
0
22 Dec 2019
P-CapsNets: a General Form of Convolutional Neural Networks
P-CapsNets: a General Form of Convolutional Neural Networks
Zhenhua Chen
Xiwen Li
Chuhua Wang
David J. Crandall
3DPC
10
0
0
18 Dec 2019
Angular Learning: Toward Discriminative Embedded Features
Angular Learning: Toward Discriminative Embedded Features
J.‐T. Wu
L.Wang
CVBM
21
1
0
17 Dec 2019
Compressed DenseNet for Lightweight Character Recognition
Compressed DenseNet for Lightweight Character Recognition
Zhao Zhang
Zemin Tang
Yang Wang
Zheng-Wei Zhang
Shuicheng Yan
Meng Wang
18
2
0
15 Dec 2019
Fully-Convolutional Intensive Feature Flow Neural Network for Text
  Recognition
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition
Zhao Zhang
Zemin Tang
Zheng-Wei Zhang
Yang Wang
Jie Qin
Meng Wang
26
7
0
13 Dec 2019
Tropical Geometry and Piecewise-Linear Approximation of Curves and
  Surfaces on Weighted Lattices
Tropical Geometry and Piecewise-Linear Approximation of Curves and Surfaces on Weighted Lattices
Petros Maragos
Emmanouil Theodosis
19
8
0
09 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
20
311
0
04 Dec 2019
Tropical Polynomial Division and Neural Networks
Tropical Polynomial Division and Neural Networks
Georgios Smyrnis
Petros Maragos
24
12
0
29 Nov 2019
Continuous Dropout
Continuous Dropout
Xu Shen
Xinmei Tian
Tongliang Liu
Fang Xu
Dacheng Tao
17
64
0
28 Nov 2019
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang
H. Liao
I-Hau Yeh
Yueh-hua Wu
Ping-Yang Chen
J. Hsieh
36
3,047
0
27 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard Turner
CLL
24
73
0
21 Nov 2019
Quantization Networks
Quantization Networks
Jiwei Yang
Xu Shen
Jun Xing
Xinmei Tian
Houqiang Li
Bing Deng
Jianqiang Huang
Xiansheng Hua
MQ
30
339
0
21 Nov 2019
Robust Deep Neural Networks Inspired by Fuzzy Logic
Robust Deep Neural Networks Inspired by Fuzzy Logic
Minh Le
OOD
AAML
AI4CE
27
0
0
20 Nov 2019
Extended Answer and Uncertainty Aware Neural Question Generation
Extended Answer and Uncertainty Aware Neural Question Generation
Hongwei Zeng
Zhuo Zhi
Jun Liu
Bifan Wei
UQLM
RALM
11
1
0
19 Nov 2019
Sparse associative memory based on contextual code learning for
  disambiguating word senses
Sparse associative memory based on contextual code learning for disambiguating word senses
M. R. S. Marques
Tales Marra
Deok-Hee Kim-Dufor
C. Berrou
22
1
0
14 Nov 2019
SiamFC++: Towards Robust and Accurate Visual Tracking with Target
  Estimation Guidelines
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Yinda Xu
Zeyu Wang
Zuoxin Li
Yuan Ye
Gang Yu
36
808
0
14 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
18
104
0
13 Nov 2019
Learning Non-Parametric Invariances from Data with Permanent Random
  Connectomes
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes
Dipan K. Pal
Akshay Chawla
Marios Savvides
16
1
0
13 Nov 2019
Machine Learning Techniques for Biomedical Image Segmentation: An
  Overview of Technical Aspects and Introduction to State-of-Art Applications
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
13
218
0
06 Nov 2019
Robust contrastive learning and nonlinear ICA in the presence of
  outliers
Robust contrastive learning and nonlinear ICA in the presence of outliers
Hiroaki Sasaki
Takashi Takenouchi
R. Monti
Aapo Hyvarinen
CML
OOD
22
8
0
01 Nov 2019
Best Practices for Convolutional Neural Networks Applied to Object
  Recognition in Images
Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images
Anderson de Andrade
11
12
0
29 Oct 2019
Weakly-Supervised Degree of Eye-Closeness Estimation
Weakly-Supervised Degree of Eye-Closeness Estimation
E. Mequanint
Shuai Zhang
Bijan Forutanpour
Y. Qi
N. Bi
CVBM
16
6
0
24 Oct 2019
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
Wei Deng
Xiao Zhang
F. Liang
Guang Lin
BDL
31
42
0
23 Oct 2019
Image Generation and Recognition (Emotions)
Image Generation and Recognition (Emotions)
Hanne Carlsson
D. Kollias
GAN
24
0
0
13 Oct 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging
  pipeline
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel
Sailesh Conjeti
Santiago Estrada
K. Diers
Bruce Fischl
M. Reuter
MedIm
28
384
0
09 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph
  Classification using CNNs
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
29
0
0
26 Sep 2019
Convolutional Neural Networks with Dynamic Regularization
Convolutional Neural Networks with Dynamic Regularization
Yi Wang
Zhen-Peng Bian
Junhui Hou
Lap-Pui Chau
18
21
0
26 Sep 2019
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle
  Edge Computing System Using 3D Point Clouds
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds
Qi Chen
3DPC
27
325
0
13 Sep 2019
Efficient Continual Learning in Neural Networks with Embedding
  Regularization
Efficient Continual Learning in Neural Networks with Embedding Regularization
Jary Pomponi
Simone Scardapane
Vincenzo Lomonaco
A. Uncini
CLL
36
41
0
09 Sep 2019
Differential Equation Units: Learning Functional Forms of Activation
  Functions from Data
Differential Equation Units: Learning Functional Forms of Activation Functions from Data
MohamadAli Torkamani
Shiv Shankar
Pedram Rooshenas
Phillip Wallis
13
2
0
06 Sep 2019
Deep Convolutional Networks in System Identification
Deep Convolutional Networks in System Identification
Carl R. Andersson
Antônio H. Ribeiro
K. Tiels
Niklas Wahlström
Thomas B. Schon
16
48
0
04 Sep 2019
Towards Learning Affine-Invariant Representations via Data-Efficient
  CNNs
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
Xenju Xu
Guanghui Wang
Alan Sullivan
Ziming Zhang
27
23
0
31 Aug 2019
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