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Multi-modal Active Learning From Human Data: A Deep Reinforcement
  Learning Approach

Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach

7 June 2019
Ognjen Rudovic
Meiru Zhang
Bjorn Schuller
Rosalind W. Picard
    OffRL
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Papers citing "Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach"

4 / 4 papers shown
Title
Active learning for data streams: a survey
Active learning for data streams: a survey
Davide Cacciarelli
M. Kulahci
28
40
0
17 Feb 2023
Robot Duck Debugging: Can Attentive Listening Improve Problem Solving?
Robot Duck Debugging: Can Attentive Listening Improve Problem Solving?
Maria Teresa Parreira
Sarah Gillet
Iolanda Leite
21
6
0
16 Jan 2023
Modeling Engagement in Long-Term, In-Home Socially Assistive Robot
  Interventions for Children with Autism Spectrum Disorders
Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders
Shomik Jain
B. Thiagarajan
Zhonghao Shi
Caitlyn E. Clabaugh
Maja J. Matarić
4
81
0
06 Feb 2020
EmoNets: Multimodal deep learning approaches for emotion recognition in
  video
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Samira Ebrahimi Kahou
Xavier Bouthillier
Pascal Lamblin
Çağlar Gülçehre
Vincent Michalski
...
Aaron Courville
Pascal Vincent
Roland Memisevic
C. Pal
Yoshua Bengio
135
401
0
05 Mar 2015
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