ICLR @ Addis Ababa ·The Eighth International Conference on Learning Representations
Sun Apr 26th through Thu the 30th


Workshops »

Accepted Posters, Spotlights and Orals

ICLR 2020 Conference | Open Review

Affinity Group Activities

Please visit the Diversity & Inclusion page for scheduled program and activities.

Registration for Virtual ICLR 2020

Pricing » Registration 2020 » 

Registration Cancellation Policy »

Travel Support Application »

Volunteer Application »

BEWARE of Predatory ICLR conferences being promoted through the World Academy of Science, Engineering and Technology organization. Current and future ICLR conference information will be only be provided through this website.

Latest Updates

2 April: We have released a call for virtual booths and socials that makes it possible for everyone to more easily meet. See details here.
30 March: As we build up to the conference, we are releasing shgort blogs about different aspects of the virtual conference. Click here for a full list of blogs.
10 March: Due to  concerns about COVID-19, #ICLR2020 will cancel its physical conference this year, and instead host a fully virtual conference. For further information, see our initial guidance for presenters and attendees.

General Chair

  • Alexander Rush, Cornell Tech

Senior Program Chair

  • Shakir Mohamed, DeepMind

Program Chairs

  • Dawn Song, UC Berkeley 
  • Kyunghyun Cho, NYU & FAIR 
  • Martha White, University of Alberta

Area Chairs

Workshop Chairs

  • Gabriel Synnaeve, Facebook AI Research
  • Asja Fischer, Ruhr University Bochum

Diversity+Inclusion Chairs

  • Animashree Anandkumar - Cal Tech / NVidia
  • Kevin Swersky - Google AI

Logistics Chairs

  • Timnit Gebru - Google Brain
  • Esube Bekele - In-Q-Tel


The organizers can be contacted here.


The ICLR 2020 Sponsor Portal will open on December 23, 2020.  The Sponsor Portal can be accessed through the ICLR Sponsor Information page found here: ICLR Sponsor Information
New sponsors to ICLR, please email us at 2020 ICLR Sponsor Prospectus Request, provide your contact information and you will receive the ICLR 2020 Sponsor Prospectus.

Important Dates

Conference & Workshop Sessions Sun Apr 26th through Thu the 30th
Paper Submission deadline Sep 25 08:00 AM PDT *
Workshop Proposal Notifications Nov 27 02:00 PM PST *
Paper Decision Notification Dec 19 02:00 PM PST *
Sponsor Portal Open Dec 23 08:00 AM PST *
Registration Opens Jan 21 08:00 AM PST *
VolunteerApplicationOpen Jan 21 08:00 AM PST *
Workshop Organizers Announce Decisions Feb 25 06:00 PM PST *
Sponsor Expo Lunch Call for Talks/Panels Opens Mar 26 11:00 AM PDT *
Registration Cancellation Refund Deadline Apr 12 04:59 PM PDT *
Sponsor Expo Application Deadline Apr 13 08:00 PM PDT *
All dates » * Dates above are in pacific time

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
  • 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