Connectionists: MAchine INtelligence @ NIPS: Call for participation

Marco Baroni marco.baroni at unitn.it
Thu Dec 1 08:21:48 EST 2016


(Apologies for multiple postings)

What: MAchine INtelligence workshop at NIPS 2016 (MAIN at NIPS)
When and Where: Fri Dec 9th 2016, 8:30am-12.30pm and 2pm-6pm
Where: Centre Convencions Internacional, Barcelona (Spain) (co-located with
NIPS)
Website: https://mainatnips.github.io/

*** Motivation ***

Recent years have seen the success of machine learning systems, in
particular deep learning architectures, on specific challenges such as
image classification and playing Go. Nevertheless, machines still fail on
hallmarks of human intelligence such as the flexibility to quickly switch
between a number of different tasks, the ability to creatively combine
previously acquired skills in order to perform a more complex goal, the
capacity to learn a new skill from just a few examples, or the use of
communication and interaction to extend one's knowledge in order to
accomplish new goals.

This workshop aims to stimulate theoretical and practical advances in the
development of machines endowed with human-like general-purpose intelligence,
focusing in particular on benchmarks to train and evaluate progress in
machine intelligence. The workshop will feature invited and contributed
talks by top researchers from machine learning, AI, cognitive science and
NLP, who will discuss with the audience their ideas about what are the most
pressing issues we face in developing true AI and the best methods to
measure genuine progress.

The workshop will also introduce the new Environment for
Communication-Based AI (CommAI-env) to the research community, encouraging
discussion on how to make it the ultimate benchmark for communication-based
machine intelligence. The Environment aims at being an interactive
playground where systems can only succeed if they possess the hallmarks of
intelligence we listed above. A prototype of the environment is available
here: https://github.com/facebookresearch/CommAI-env

*** Program ***

08:30-09:00     Introduction
09:00-09:20     Marco Baroni: A roadmap for communication-based AI
09:20-09:30     Allan Jabri: The commAI-env environment for
communication-based AI
09:30-09:55     Raquel Fernandez: Human-like dialogue: Key challenges for AI
09:55-10:20     Jürgen Schmidhuber: Learning incrementally to become a
general problem solver
10:20-10:30     Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst: From
particular to general: A preliminary case study of transfer learning in
reading comprehension

10:30-11:00     Coffee break

11:00-11:10     Marek Rosa, Jan Feyereisl: Consolidating the search for
general AI
11:10-11:20     Alex Peysakhovich: Gaining insights from game theory about
the emergence of communication
11:20-11:30     Tomo Lazovich, Matthew C. Graham, Troy M. Lau, Joshua C.
Poore: Socially constructed machine intelligence
11:30-11:40     Douwe Kiela, Luana Bulat, Anita L. Vero, Stephen Clark:
Virtual embodiment: A scalable long-term strategy for Artificial
Intelligence research

11:40-12:30     Panel on basic requirements for machine intelligence:
Angeliki Lazaridou (moderator), Katja Hofmann, Brenden Lake, Jürgen
Schmidhuber, Arthur Szlam, Jan Feyereisl, Rudolf Kadlec, Armand Joulin

12:30-14:00     Lunch

14:00-14:25     Brenden Lake: Building machines that learn and think like
people
14:25-14:50     Fernando Diaz: Malmo: Flexible and scalable evaluation in
Minecraft
14:50-15:00     Jon Gauthier, Igor Mordatch: A paradigm for situated and
goal-driven language learning
15:00-15:30     Coffee break
15:30-15:55     Arthur Szlam: In praise of fake AI
15:55-16:20     Emmanuel Dupoux: An evolutionary perspective on machine
intelligence
16:20-16:45     Julian Togelius: Are video games the perfect environments
for developing artificial general intelligence? Which kind of general
intelligence?
16:45-16:55     Steven Hansen: Minimally naturalistic Artificial
Intelligence
16:55-17:05     Gemma Boleda: Remarks on the CommAI-env

17:05-18:00     Panel on CommAI-env and other environments for the
development of AI: Germán Kruszewski (moderator), Julian Togelius, Tomas
Mikolov, Emmanuel Dupoux, Raquel Fernandez, Alex Peysakhovich, Gemma
Boleda, Igor Mordatch


*** Organizers ***

Tomas Mikolov, Allan Jabri, Armand Joulin, Klemen Simonic (Facebook)
Marco Baroni, Angeliki Lazaridou, Germán Kruszewski (University of
Trento/Facebook)


*** Contact ***

main.at.nips2016 at gmail.com
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