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1302.4389
Cited By
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
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
Hanna Tseran
Guido Montúfar
ODL
27
0
0
17 Jan 2023
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
Yushan Han
Hui Zhang
Huifang Li
Yi Jin
Congyan Lang
Yidong Li
34
100
0
16 Jan 2023
Increasing biases can be more efficient than increasing weights
C. Metta
M. Fantozzi
Andrea Papini
G. Amato
Matteo Bergamaschi
S. Galfrè
Alessandro Marchetti
Michelangelo Vegliò
Maurizio Parton
F. Morandin
21
4
0
03 Jan 2023
A Close Look at Spatial Modeling: From Attention to Convolution
Xu Ma
Huan Wang
Can Qin
Kunpeng Li
Xing Zhao
Jie Fu
Yun Fu
ViT
3DPC
25
11
0
23 Dec 2022
Variational Laplace Autoencoders
Yookoon Park
C. Kim
Gunhee Kim
BDL
DRL
26
21
0
30 Nov 2022
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition
Xueru Wen
Changjiang Zhou
Haotian Tang
Luguang Liang
Yu-Gang Jiang
Hong Qi
33
0
0
19 Oct 2022
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen
H. Garudadri
Bhaskar D. Rao
11
18
0
13 Oct 2022
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion
Yuxiang Zhang
Jingze Lu
Xingming Wang
Zhuo Li
Runqiu Xiao
Wenchao Wang
Ming Li
Pengyuan Zhang
46
5
0
13 Oct 2022
Probabilistic Inverse Modeling: An Application in Hydrology
Somya Sharma
Rahul Ghosh
Arvind Renganathan
Xiang Li
Snigdhansu Chatterjee
John L. Nieber
C. Duffy
Vipin Kumar
AI4CE
27
1
0
12 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
Wenlong Deng
Lang Lang
Ziqiang Liu
B. Liu
26
0
0
09 Oct 2022
Attention Diversification for Domain Generalization
Rang Meng
Xianfeng Li
Weijie Chen
Shicai Yang
Jie Song
Xinchao Wang
Lei Zhang
Mingli Song
Di Xie
Shiliang Pu
23
39
0
09 Oct 2022
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
Tanguy Marchand
Boris Muzellec
C. Béguier
Jean Ogier du Terrail
M. Andreux
FedML
38
9
0
04 Oct 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling
P. Bashivan
Adam Ibrahim
Amirozhan Dehghani
Yifei Ren
OOD
21
5
0
30 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions
Ameya Dilip Jagtap
George Karniadakis
AI4CE
34
71
0
06 Sep 2022
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation
Zhengwei Bai
Guoyuan Wu
Matthew J. Barth
Yongkang Liu
E. A. Sisbot
K. Oguchi
Zhitong Huang
26
22
0
22 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
36
54
0
17 Aug 2022
Deep Maxout Network Gaussian Process
Libin Liang
Ye Tian
Ge Cheng
BDL
9
0
0
08 Aug 2022
Parameter Averaging for Feature Ranking
Talip Uçar
Ehsan Hajiramezanali
25
0
0
05 Aug 2022
A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues
Jason Armitage
L. Impett
Rico Sennrich
18
5
0
24 Jul 2022
MorphoActivation: Generalizing ReLU activation function by mathematical morphology
Santiago Velasco-Forero
Jesús Angulo
AI4CE
8
2
0
13 Jul 2022
Offset equivariant networks and their applications
Marco Cotogni
C. Cusano
27
7
0
01 Jul 2022
Consensus Function from an
L
p
q
−
L_p^q-
L
p
q
−
norm Regularization Term for its Use as Adaptive Activation Functions in Neural Networks
Juan Heredia Juesas
José Á. Martínez-Lorenzo
17
0
0
30 Jun 2022
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions
Leonie Henschel
David Kügler
D. Andrews
C. Nordahl
M. Reuter
24
0
0
29 Jun 2022
Piecewise Linear Neural Networks and Deep Learning
Qinghua Tao
Li Li
Xiaolin Huang
Xiangming Xi
Shuning Wang
Johan A. K. Suykens
15
28
0
18 Jun 2022
On the Number of Regions of Piecewise Linear Neural Networks
Alexis Goujon
Arian Etemadi
M. Unser
44
13
0
17 Jun 2022
Tailored max-out networks for learning convex PWQ functions
Dieter Teichrib
M. S. Darup
6
3
0
14 Jun 2022
Analysis of function approximation and stability of general DNNs in directed acyclic graphs using un-rectifying analysis
Wonjun Hwang
Shih-Shuo Tung
11
4
0
13 Jun 2022
SwinCheX: Multi-label classification on chest X-ray images with transformers
Sina Taslimi
Soroush Taslimi
Nima Fathi
Mohammad Salehi
M. Rohban
ViT
MedIm
18
25
0
09 Jun 2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks
Hao Chen
Yu Wang
Huan Xiong
GNN
16
6
0
01 Jun 2022
Learning with Stochastic Orders
Carles Domingo-Enrich
Yair Schiff
Youssef Mroueh
33
2
0
27 May 2022
B-cos Networks: Alignment is All We Need for Interpretability
Moritz D Boehle
Mario Fritz
Bernt Schiele
42
85
0
20 May 2022
Learning Energy Networks with Generalized Fenchel-Young Losses
Mathieu Blondel
Felipe Llinares-López
Robert Dadashi
Léonard Hussenot
M. Geist
33
6
0
19 May 2022
Deep Learning in Business Analytics: A Clash of Expectations and Reality
Marc Schmitt
41
53
0
19 May 2022
PLOD: An Abbreviation Detection Dataset for Scientific Documents
Leonardo Zilio
Hadeel Saadany
Prashant Sharma
Diptesh Kanojia
Constantin Orasan
6
4
0
26 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yongqian Li
Weizhi Ma
C. L. Philip Chen
M. Zhang
Yiqun Liu
Shaoping Ma
Yue Yang
33
9
0
05 Apr 2022
HYDRA: Competing convolutional kernels for fast and accurate time series classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
28
55
0
25 Mar 2022
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
Runsheng Xu
Hao Xiang
Zhengzhong Tu
Xin Xia
Ming-Hsuan Yang
Jiaqi Ma
ViT
112
362
0
20 Mar 2022
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic
J. Duersch
Thomas A. Catanach
Niladri Das
TPM
11
1
0
16 Mar 2022
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR
Zhengwei Bai
Guoyuan Wu
Matthew J. Barth
Yongkang Liu
E. A. Sisbot
K. Oguchi
3DPC
22
54
0
12 Mar 2022
The Theoretical Expressiveness of Maxpooling
Kyle Matoba
Nikolaos Dimitriadis
Franccois Fleuret
FAtt
11
3
0
02 Mar 2022
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs
Zhenxing Zhang
Lambert Schomaker
33
5
0
25 Feb 2022
HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks
Yu Xue
Zi-Wei Yuan
17
0
0
19 Feb 2022
Convolutional Network Fabric Pruning With Label Noise
Ilias Benjelloun
B. Lamiroy
E. Koudou
11
0
0
15 Feb 2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Yifei Zhang
Hao Zhu
Ziqiao Meng
Piotr Koniusz
Irwin King
29
32
0
13 Feb 2022
Learning Features with Parameter-Free Layers
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
35
8
0
06 Feb 2022
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors
Emilien Valat
K. Farrahi
T. Blumensath
GAN
MedIm
9
1
0
01 Feb 2022
An Ensemble Approach to Acronym Extraction using Transformers
Prashant Sharma
Hadeel Saadany
Leonardo Zilio
Diptesh Kanojia
Constantin Oruasan
16
1
0
09 Jan 2022
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning
Ziyang Tang
Yihao Feng
Qiang Liu
OffRL
9
1
0
01 Jan 2022
Reflash Dropout in Image Super-Resolution
Xiangtao Kong
Xina Liu
Jinjin Gu
Yu Qiao
Chao Dong
UQCV
13
58
0
22 Dec 2021
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI
Leonie Henschel
David Kügler
M. Reuter
35
42
0
17 Dec 2021
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