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Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 212
Machine Intelligence @ NIPS
Tomas Mikolov · Baroni Marco · Armand Joulin · Germán Kruszewski · Angeliki Lazaridou · Klemen Simonic

Workshop Home Page

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 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. We are moreover calling for position statements from interested researchers to complement the workshop program. The workshop will also introduce the new Environment for Communication-Based AI to the research community, encouraging discussion on how to make it the ultimate benchmark for 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. In September, we will make a prototype of the Environment available, so that researchers interested in submitting position statements to the workshop can experiment with it and take it into account in their proposals.

Klemen Simonic - Introduction (Talk)
Marco Baroni - A roadmap for communication-based AI (Talk)
Allan Jabri - The commAI-env environment for communication-based AI (Talk)
Raquel Fernandez - Human-like dialogue: Key challenges for AI (Talk)
Jürgen Schmidhuber: Learning incrementally to become a general problem solver (Talk)
Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst - From particular to general: A preliminary case study of transfer learning in reading comprehension (Talk)
Coffee break (Break)
Marek Rosa, Jan Feyereisl - Consolidating the search for general AI (Talk)
Alex Peysakhovich - Gaining insights from game theory about the emergence of communication (Talk)
Tomo Lazovich, Matthew C. Graham, Troy M. Lau, Joshua C. Poore - Socially constructed machine intelligence (Talk)
Douwe Kiela, Luana Bulat, Anita L. Vero, Stephen Clark - Virtual embodiment: A scalable long-term strategy for Artificial Intelligence research (Talk)
Panel on Basic requirements for Machine Intelligence: Angeliki Lazaridou (moderator), Katja Hofmann, Brenden Lake, Jürgen Schmidhuber, Arthur Szlam, Jan Feyereisl, Rudolf Kadlec, Armand Joulin (Panel Discussion)
Lunch Break (Break)
Brenden Lake - Building machines that learn and think like people (Talk)
Fernando Diaz - Malmo: Flexible and scalable evaluation in Minecraft (Talk)
Jon Gauthier, Igor Mordatch - A paradigm for situated and goal-driven language learning (Talk)
Coffee break 2 (Break)
Arthur Szlam - In praise of fake AI (Talk)
Emmanuel Dupoux - An evolutionary perspective on machine intelligence (Talk)
Julian Togelius - Are video games the perfect environments for developing artificial general intelligence? Which kind of general intelligence? (Talk)
Steven Hansen - Minimally naturalistic Artificial Intelligence (Talk)
Gemma Boleda - Remarks on the CommAI-env (Talk)
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 (Panel Discussion)