Overview

Video recordings of all the invited talks and panel discussion are *finally* available.


YouTube videos without slides:


Poster session location:
Location of talks: Vauban Hall at Lille Grande Palais , France
Location of poster sessions: 10 2-sided boards in Lille Métropole (same as poster sessions of the main conference)
Workshop dates: July 10 and 11, 2015

Paper submission deadline:    May 1, 11:59 PM, PT (Pacific Time), 2015
Author Notification: May 10, 2015
Early registration deadline (ICML '15):    May 15, 2015

Deep learning is a fast-growing field of Machine Learning concerned with the study and design of computer algorithms for learning good representations of data, at multiple levels of abstraction. There has been rapid progress in this area in recent years, both in terms of methods and in terms of applications, which are attracting the major IT companies. Many challenges remain, however, in aspects like large-scale (hyper-) parameter optimization, modeling of temporal data with long-term dependencies, generative modeling, efficient Bayesian inference for deep learning, multi-modal data and models, and learning representations for reinforcement learning. The workshop aims at bringing together researchers in the field of deep learning to discuss recent advances, ongoing developments and the road that lies ahead.

The workshop invites extended abstracts that will be presented either orally or in poster format. Through invited talks, a panel discussion and presentations by the participants, this workshop will showcase the latest advances in deep learning and address questions that are at the center of current deep learning research.

Invited speakers

All speakers have confirmed.

First day (July 10)

  • Tara Sainath, Google
  • Yann Ollivier, Paris-Sud University
  • Oriol Vinyals, Google
  • Jason Weston, Facebook
  • Jorge Nocedal, Northwestern University

Second day (July 11)

  • Neil Lawrence , Sheffield University
  • Roland Memisevic, University of Montreal
  • Rajesh Ranganath, Princeton University
  • Ian Goodfellow, Google
  • Karol Gregor, Google DeepMind

Organizers

  • Geoff Hinton, Google
  • Yann LeCun, Facebook
  • Yoshua Bengio, Université de Montréal
  • Max Welling, University of Amsterdam
  • Kyunghyun Cho, Université de Montréal
  • Durk Kingma, University of Amsterdam

Area Chairs

  • Tapani Raiko, Aalto University
  • Tara Sainath, Google
  • Chris Dyer, Carnegie Mellon University
  • Aaron Courville, Université de Montréal
  • Antoine Bordes, Facebook
  • James Bergstra, University of Waterloo