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Popular MLIS Events
#1
Juergen Schmidhuber, PowerPlay: training an increasingly general (reinforcement learning) problem solver by continually searching for the simplest still unsolvable problem
#2
Ruslan Salakhutdinov, Learning Recurrent Attention Models
#3
Human-Guided Learning of Social Action Selection for Robot-Assisted Therapy, Emmanuel Senft, Paul Baxter and Tony Belpaeme
#4
Welcome and Opening Remarks
#5
Imitation Learning Applied to Embodied Conversational Agent, Bilal Piot, Olivier Pietquin and Matthieu Geist
#6
Bjorn Schuller, Less Input: Cooperative Learning for Emotionally Intelligent Systems
#7
Iterative Embedding with Robust Correction using Feedback of Error Observed, Praneeth Vepakomma and Ahmed Elgammal
#8
Ashutosh Saxena and Ashesh Jain, RoboBrain Knowledge Engine: Learning from Weak Human Signals
#9
Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain, Vivek Sharma, Frank Dittrich, Sule Yildirim-Yayilgan and Luc Van Gool
#10
Teaching iCub to recognize objects using deep Convolutional Neural Networks, Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco and Lorenzo Natale
#11
Discussion session 1
#12
Latent Goal Analysis for Dimension Reduction in Reinforcement Learning, Matthias Rolf and Minoru Asada
#13
Online Mean Field Approximation for Automated Experimentation, Shaona Ghosh and Adam Prugel-Bennett
#14
A Coactive Learning Perspective on Interactive Machine Translation, Artem Sokolov, Shay Cohen and Stefan Riezler
#15
Visualizing User Model in Exploratory Search Tasks, Kalle Ilves, Alan Medlar and Dorota Glowacka
#16
Discussion session 2
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