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DL 2015 : Deep Learning Workshop @ ICML 2015

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Link: https://sites.google.com/site/deeplearning2015/
 
When Jul 10, 2015 - Jul 11, 2015
Where Lille, France
Submission Deadline May 1, 2015
Notification Due May 10, 2015
 

Call For Papers

Location: Lille, France
Dates: 10-11 July, 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.
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
Invited speakers (all confirmed)
First day
Tara Sainath, Google
Yann Ollivier, Paris-Sud University
Oriol Vinyals, Google
Jason Weston, Facebook
Jorge Nocedal, Northwestern University
Second day
Neil Lawrence , Sheffield University
Roland Memisevic, University of Montreal
Rajesh Ranganath, Princeton University
Ian Goodfellow, Google
Karol Gregor, Google DeepMind

Important Dates

Call-for-Paper Available: 25 March, 2015
Submission Deadline: 1 May, 2015
Author Notification: 10 May, 2015
Early Registration Deadline (ICML '15): 15 May, 2015
Workshop: 10 - 11 July, 2015




Call for Papers


Overview

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. We encourage submissions on the following (non-exhaustive) list of topics:
•Optimization: ◦Large-scale optimization
◦Hyper-parameter optimization
◦Model structure optimization

•Regularization: ◦Observation-dependent Regularization
◦Generative models as regularization: Semi-supervised learning

•Structured Learning: ◦Temporal models with long-term dependencies
◦Deep learning with multiple modalities, including vision, speech and languages

•Unsupervised/generative Modeling: ◦Efficient (Bayesian) inference for deep learning
◦Large-scale generative modelling

•Reinforcement learning: ◦Learning representations for reinforcement learning
◦Deep model-based and data-efficient reinforcement learning


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

The Workshop on Deep Learning will have ten 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

Important dates

Paper submission deadline: May 1, 2015
Author Notification: May 10, 2015
Early registration deadline (ICML '15): May 15, 2015
Workshop dates: July 10-11, 2015

Submission

Authors should submit an extended abstract whose length we recommend, but do not enforce, to be between 2 and 8 pages with up to 2 additional pages for references. The submitted abstract may be a shortened version of a longer paper or technical report, potentially with a different title, in which case the longer paper should be referred from the submission but reviewers will be asked to judge the submission solely based on the submitted extended abstract. This is to ensure that the original, longer manuscript may be submitted to another publication venue without violating dual submission policy that considers peer-reviewed workshop papers as ordinary publications.

All submissions must be in PDF format, and we encourage authors to follow the style guidelines of ICML 2015 (see http://icml.cc/2015/?page_id=151).

Submissions must be made through: https://cmt.research.microsoft.com/DL2015

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