ICLR @ New Orleans ·The Seventh International Conference on Machine Learning
Mon May 6th through Thu the 9th Tourism in New Orleans »

  • Registration will open on  January 29, 2019
  • Student travel award and Volunteer applications will open with registration
  •  Do not book travel until you have registered for the conference
  • Apply for your visa (if necessary) by March 7, 2019. See our Registration Cancellation Policy

Important Dates:

  • Sep 27, Paper Submission Deadline
  • Late Jan 2019, Registration Opens
  • Mar 19, Early Reg Pricing Deadline
  • Apr 16, Reg Cancellation Deadline

View All Dates »

ICLR Conference Overview

The performance of machine learning methods is heavily dependent on the choice of data representation (or features) on which they are applied. The rapidly developing field of deep learning is concerned with questions surrounding how we can best learn meaningful and useful representations of data. We take a broad view of the field and include topics such as feature learning, metric learning, compositional modeling, structured prediction, reinforcement learning, and issues regarding large-scale learning and non-convex optimization. The range of domains to which these techniques apply is also very broad, from vision to speech recognition, text understanding, gaming, music, etc.

A non-exhaustive list of relevant topics:
  • unsupervised, semi-supervised, and supervised representation learning
  • representation learning for planning and reinforcement learning
  • metric learning and kernel learning
  • sparse coding and dimensionality expansion
  • hierarchical models
  • optimization for representation learning
  • learning representations of outputs or states
  • implementation issues, parallelization, software platforms, hardware
  • applications in vision, audio, speech, natural language processing, robotics, neuroscience, or any other field

The program will include keynote presentations from invited speakers, oral presentations, and posters.