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Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention
  Model

Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model

29 January 2020
Nihar Bendre
Nima Ebadi
John J. Prevost
Paul Rad
    HAI
ArXivPDFHTML

Papers citing "Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model"

4 / 4 papers shown
Title
FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive
  Naturalistic Apollo Data
FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data
Aditya Sunil Joglekar
John H. L. Hansen
M. C. Shekhar
A. Sangwan
32
24
0
15 Aug 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
26
54
0
30 Jul 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
36
593
0
16 Jun 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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