ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1301.4083
  4. Cited By
Knowledge Matters: Importance of Prior Information for Optimization

Knowledge Matters: Importance of Prior Information for Optimization

17 January 2013
Çağlar Gülçehre
Yoshua Bengio
ArXivPDFHTML

Papers citing "Knowledge Matters: Importance of Prior Information for Optimization"

10 / 60 papers shown
Title
Extraction of Salient Sentences from Labelled Documents
Extraction of Salient Sentences from Labelled Documents
Misha Denil
Alban Demiraj
Nando de Freitas
27
137
0
21 Dec 2014
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
107
3,841
0
19 Dec 2014
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
186
1,186
0
30 Nov 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via
  Target Propagation
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
47
181
0
29 Jul 2014
Modelling, Visualising and Summarising Documents with a Single
  Convolutional Neural Network
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network
Misha Denil
Alban Demiraj
Nal Kalchbrenner
Phil Blunsom
Nando de Freitas
35
101
0
15 Jun 2014
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep
  Convolutional Neural Network
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
Sijin Li
Zhi-Qiang Liu
Antoni B. Chan
3DH
58
236
0
13 Jun 2014
Multimodal Transitions for Generative Stochastic Networks
Multimodal Transitions for Generative Stochastic Networks
Sherjil Ozair
L. Yao
Yoshua Bengio
46
10
0
19 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
83
6,251
0
16 Dec 2013
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Çağlar Gülçehre
Kyunghyun Cho
Razvan Pascanu
Yoshua Bengio
48
170
0
07 Nov 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
Previous
12