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DL 2015 - 2015 Deep Learning Workshop

Date2015-12-07 - 2015-12-12

Deadline2015-10-01

VenueMontreal, Canada Canada

Keywords

Websitehttps://nips.cc

Topics/Call fo Papers

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.

Last modified: 2015-05-05 23:39:12