Catered Lunch and Poster Viewing (in Workshop Room)
in
Workshop: CiML 2019: Machine Learning Competitions for All
Abstract
Accepted Posters
Kandinsky Patterns: An open toolbox for creating explainable machine learning challenges Heimo Muller · Andreas Holzinger
MOCA: An Unsupervised Algorithm for Optimal Aggregation of Challenge Submissions Robert Vogel · Mehmet Eren Ahsen · Gustavo A. Stolovitzky
FDL: Mission Support Challenge Luís F. Simões · Ben Day · Vinutha M. Shreenath · Callum Wilson
From data challenges to collaborative gig science. Coopetitive research process and platform Andrey Ustyuzhanin · Mikhail Belous · Leyla Khatbullina · Giles Strong
Smart(er) Machine Learning for Practitioners Prabhu Pradhan
Improving Reproducibility of Benchmarks Xavier Bouthillier
Guaranteeing Reproducibility in Deep Learning Competitions Brandon Houghton
Organizing crowd-sourced AI challenges in enterprise environments: opportunities and challenges Mahtab Mirmomeni · Isabell Kiral · Subhrajit Roy · Todd Mummert · Alan Braz · Jason Tsay · Jianbin Tang · Umar Asif · Thomas Schaffter · Eren Mehmet · Bruno De Assis Marques · Stefan Maetschke · Rania Khalaf · Michal Rosen-Zvi · John Cohn · Gustavo Stolovitzky · Stefan Harrer
WikiCities: a Feature Engineering Educational Resource Pablo Duboue
Reinforcement Learning Meets Information Seeking: Dynamic Search Challenge Zhiwen Tang · Grace Hui Yang
AI Journey 2019: School Tests Solving Competition Alexey Natekin · Peter Romov · Valentin Malykh
A BIRDSAI View for Conservation Elizabeth Bondi · Milind Tambe · Raghav Jain · Palash Aggrawal · Saket Anand · Robert Hannaford · Ashish Kapoor · Jim Piavis · Shital Shah · Lucas Joppa · Bistra Dilkina