Challenges in Machine Learning: Gaming and Education NIPS 2016 workshop Friday December 9, 2016, Barcelona, Spain ROOM 129 + 130 The posters dimensions are 36 x 48 in. (91cm x 122cm).
Morning session (8:00 am-12:00 pm) 8:00 : Welcome and introduction. Evelyne Viegas 8:30 : Invited talk. Larry Zitnick (MSCOCO) Gathering common sense knowledge: how to game it? 40 Min 9:10 : Jonathan Stroud, Alex Chojnacki, Jacob Abernethy (U. Michigan) The Michigan Data Science Team: A Student Organization for Machine Learning Challenges 20 Min 9:30 : Jesus Fernandez-Bes (U. Zaragoza) Jerónimo Arenas-García and Jesús Cid-Sueiro (U. Carlos III de Madrid) Energy generation prediction: Lessons learned from the use of Kaggle in Machine Learning Course 20 Min 9:50 : Invited talk. Emma Brunskill (CMU) Learning to improve learning: ML in the classroom 40 Min 10:30 - Break 11:00 : Discussion: Challenges in education, Balazs Kegl and Ben Hamner moderators 12:00 - 14:00: Lunch, posters and discussions Afternoon session (14:00 pm -18:30 pm) 14:40 : Duc-Tien Dang-Nguyen (Dublin City U.), Luca Piras (U. Cagliari), Michael Riegler (Simula Research Lab.), Cathal Gurrin (Dublin City U.), Giulia Boato (U. Trento), Pål Halvorsen (Simula Research Lab.) ImageCLEF 2017 LifeLog task 20 Min (presented by Henning Mueller) 15:00 - Break 16:50 : Predrag Radivojac (Indiana U.), Casey S. Greene (U. Pennsylvania), Sean D. Mooney (U. Washington), and Iddo Friedberg (Iowa State U.) CAFA: a Challenge Dedicated to Understanding the Function of Biological Macromolecules Min 17:10 : Andreas Holzinger, Markus Plass, Michael D. Kickmeier-Rust (Medical U. Graz and Graz U. Tech.) Interactive Machine Learning (iML): a challenge for Game-based approaches 20 Min 17:30 : Discussion: Gaming challenges and encouraging collaborations. Sergio Escalera and Isabelle Guyon moderators 18:30 - Adjourn List of posters: Rewards and errors in multi-arm bandits for interactive education. Anonymous authors. DREAM Challenges: A Global Crowdsourcing Platform for Biomedical Challenges and Education. Justin Guinney and Gustavo Stolovitzky Everware - towards challenge-driven education through reproducibility. Andrey Ustyuzhanin, Tim Head, Igor Babuschkin Data Science Game. Benjamin Donnot, Antoine Miech, Thilbault Laugel, Antoine Ly Coopetitions in machine learning: case studies. Xavier Baró et al. [pdf poster] Dinner: Friday December 9 at 8pm at restaurant Sabor Mudejar  |
CiML 2016 >
