Deep Learning algorithms attempt to discover good representations, at multiple levels of abstraction. Deep Learning is a topic of broad interest, both to researchers who develop new algorithms and theories, as well as to the rapidly growing number of practitioners who apply these algorithms to a wider range of applications, from vision and speech processing, to natural language understanding, neuroscience, health, etc. Major conferences in these fields often dedicate several sessions to this topic, attesting the widespread interest of our community in this area of research.
There has been very rapid and impressive progress in this area in recent years, in terms of both algorithms and applications, but many challenges remain. This symposium aims at bringing together researchers in Deep Learning and related areas to discuss the new advances, the challenges we face, and to brainstorm about new solutions and directions.
EXAMPLE:
Morning
7:30am - 7:35am Opening Remarks, Marko Grobelnik (Jozef Stefan Institute)
7:35am - 8:00am Quick over of Machine Reading Approaches, Estevam Hruschka (Federal University of Sao Carlos)
8:00am - 8:30am Never-Ending Language Learning (NELL), Partha Taludkar (Carnegie Mellon University)
8:30am - 9:00am What should be extracted from text?, Mitja Trampus and Dunja Mladenic (Jozef Stefan Institute)
9:00am - 10:00am Knowledge Extraction from Archaeological Texts, Christopher Re (Stanford University)
10:00am - 10:30am Information Retrieval from Clinical Reports, Michel Oleynik, Marcelo Finger and Diogo F. C. Patrao (Institute of Mathematics and Statistics, University of Sao Paulo)
10:30am - 3:00pm Ski Break
Afternoon
3:30pm - 4:30pm Semantic Construction Grammars, Michael Witbrock (Cycorp)
4:30pm - 5:00pm Structured Learning for Mapping Natural Language to Spatial Calculi Models, Parisa Kordjamshidi and Marie-Francine Moens ( KULeuven)
5:00pm - 5:30pm The Wisdom of the Crowds to Assist Never Ending Learning Tasks through Conversing Learning, Saulo Pedro and Estevam Hruschka Junior (Federal UNiversity of Sao Carlos)
5:30pm - 6:00pm A Simple Way to Build Domain Ontology from Scratch, Ivo Gersberg and Nelson Ebecken (COPPE-Federal University of Rio de Janeiro)
6:00pm - 7:00pm Knowledge Extraction From Business Texts, James Hodson (Bloomberg)
7:00pm Final Remarks
https://sites.google.com/site/nips2015deeplearnings/
