The Eleventh International Conference on Learning Representations

Kigali Rwanda
Mon May 1 — Fri May 5


 

Please visit "Attend" for more information on traveling to Kigali, Rwanda.

Registration

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Financial Aid & Volunteer Applications - Opening Soon

Childcare Applications Open Now

 

Sponsors

We are very excited to be holding the ICLR 2023 annual conference in Kigali, Rwanda this year from May 1-5, 2023.  The conference will be located at the beautiful Kigali Convention Centre / Radisson Blu Hotel location which was recently built and opened for events and visitors in 2016.  The Kigali Convention Centre is located 5 kilometers from the Kigali International Airport. 

The in-person conference will also provide viewing and virtual participation for those attendees who are unable to come to Kigali, including a static virtual exhibitor booth for most sponsors. 

 We look forward to answering any questions you may have, and hopefully seeing you in Kigali. 

Become a 2023 Sponsor »

Important Dates

Conference Sessions and Workshops Mon May 1st through Fri the 5th
Virtual Only Pass Mon May 1st through Fri the 5th
Thursday Workshop 1 Day Pass Thu May 4th
Friday Workshop 1 Day Pass Fri May 5th
Abstract Submission Deadline Sep 21 '22(Anywhere on Earth)
Paper Submission deadline Sep 28 '22(Anywhere on Earth)
Paper Reviews Released Nov 05 '22 03:00 AM CAT *
Sponsor Portal Open Jan 02 '23(Anywhere on Earth)
Paper Decision Notification Jan 21 '23 04:00 AM CAT *
ExpoCallsOpen Jan 31 '23(Anywhere on Earth)
TinyPaperSubmissionPortalOpens Feb 01 '23 10:00 PM CAT *
TinyPapersSubmissionDeadline Feb 28 '23(Anywhere on Earth)
Early pricing before this date. Mar 01 '23(Anywhere on Earth)
TinyPaperNotification Apr 01 '23 03:00 AM CAT *
TinyPaperNotification Apr 01 '23 03:00 AM CAT *
Registration Cancellation Refund Deadline Mar 31 '23(Anywhere on Earth)
TinyPaperCameraRead Apr 16 '23 03:00 AM CAT *
Sponsor Portal Close Jun 15 '23(Anywhere on Earth)
All dates »

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About Us

The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.

ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

Participants at ICLR span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

A non-exhaustive list of relevant topics explored at the conference include:

  • unsupervised, semi-supervised, and supervised representation learning
  • representation learning for planning and reinforcement learning
  • representation learning for computer vision and natural language processing
  • metric learning and kernel learning
  • sparse coding and dimensionality expansion
  • hierarchical models
  • optimization for representation learning
  • learning representations of outputs or states
  • optimal transport
  • theoretical issues in deep learning
  • societal considerations of representation learning including fairness, safety, privacy, and interpretability, and explainability
  • visualization or interpretation of learned representations
  • implementation issues, parallelization, software platforms, hardware
  • climate, sustainability
  • applications in audio, speech, robotics, neuroscience,  biology, or any other field