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Building high-level features using large scale unsupervised learning

Building high-level features using large scale unsupervised learning

29 December 2011
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
    SSL
    OffRL
    CVBM
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Papers citing "Building high-level features using large scale unsupervised learning"

12 / 12 papers shown
Title
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
Serge Dolgikh
57
0
0
31 Dec 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
106
99
0
05 Jul 2024
Minimax Estimation of Conditional Moment Models
Minimax Estimation of Conditional Moment Models
Nishanth Dikkala
Greg Lewis
Lester W. Mackey
Vasilis Syrgkanis
106
99
0
12 Jun 2020
Detecting Adversarial Image Examples in Deep Networks with Adaptive
  Noise Reduction
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
73
216
0
23 May 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point
  Devices
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
Tayfun Gokmen
M. Onen
W. Haensch
43
140
0
22 May 2017
Easy over Hard: A Case Study on Deep Learning
Easy over Hard: A Case Study on Deep Learning
Wei Fu
Tim Menzies
48
196
0
01 Mar 2017
FPGA Architecture for Deep Learning and its application to Planetary
  Robotics
FPGA Architecture for Deep Learning and its application to Planetary Robotics
P. Gankidi
J. Thangavelautham
19
43
0
26 Jan 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
147
2,582
0
23 Jan 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
75
476
0
06 Jan 2017
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural
  Networks
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
Peter Ondruska
J. Dequaire
Dominic Zeng Wang
Ingmar Posner
54
62
0
18 Apr 2016
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
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
D. Ciresan
U. Meier
L. Gambardella
Jürgen Schmidhuber
72
993
0
01 Mar 2010
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