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Spatial Mixture-of-Experts

Spatial Mixture-of-Experts

24 November 2022
Nikoli Dryden
Torsten Hoefler
    MoE
ArXivPDFHTML

Papers citing "Spatial Mixture-of-Experts"

21 / 71 papers shown
Title
Training Sparse Neural Networks
Training Sparse Neural Networks
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
82
207
0
21 Nov 2016
Deep Learning Markov Random Field for Semantic Segmentation
Deep Learning Markov Random Field for Semantic Segmentation
Ziwei Liu
Xiaoxiao Li
Ping Luo
Chen Change Loy
Xiaoou Tang
3DV
57
160
0
23 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
161
18,136
0
02 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
66
1,008
0
31 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
239
7,951
0
23 May 2016
Network of Experts for Large-Scale Image Categorization
Network of Experts for Large-Scale Image Categorization
Karim Ahmed
M. H. Baig
Lorenzo Torresani
44
126
0
20 Apr 2016
Combining Markov Random Fields and Convolutional Neural Networks for
  Image Synthesis
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
Chuan Li
Michael Wand
42
768
0
18 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
42
96
0
24 Nov 2015
Conditional Computation in Neural Networks for faster models
Conditional Computation in Neural Networks for faster models
Emmanuel Bengio
Pierre-Luc Bacon
Joelle Pineau
Doina Precup
AI4CE
81
320
0
19 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
445
7,952
0
13 Jun 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
156
2,533
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
151
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
675
149,474
0
22 Dec 2014
Deep Sequential Neural Network
Deep Sequential Neural Network
Ludovic Denoyer
Patrick Gallinari
BDL
29
62
0
02 Oct 2014
Exponentially Increasing the Capacity-to-Computation Ratio for
  Conditional Computation in Deep Learning
Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning
Kyunghyun Cho
Yoshua Bengio
58
38
0
28 Jun 2014
Low-Rank Approximations for Conditional Feedforward Computation in Deep
  Neural Networks
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Andrew S. Davis
I. Arel
59
78
0
16 Dec 2013
Learning Factored Representations in a Deep Mixture of Experts
Learning Factored Representations in a Deep Mixture of Experts
David Eigen
MarcÁurelio Ranzato
Ilya Sutskever
MoE
58
372
0
16 Dec 2013
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
296
3,099
0
15 Aug 2013
Deep Learning of Representations: Looking Forward
Deep Learning of Representations: Looking Forward
Yoshua Bengio
136
679
0
02 May 2013
Emergence of Complex-Like Cells in a Temporal Product Network with Local
  Receptive Fields
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
Karol Gregor
Yann LeCun
86
72
0
02 Jun 2010
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