Virtual Workshops at ICLR2020

👷 The 2020 Workshops

  1. AfricaNLP — Unlocking Local Languages
    Showcase work on NLP for African languages, which are typically low resource languages, and bring it to a global audience.
  2. AI for Affordable Healthcare
    Highlight recent advances in AI for enabling, democratising, and upholding high standards of healthcare worldwide.
  3. AI for Earth Sciences
    Bring cutting edge geoscientific and planetary challenges to the fore for the machine learning and deep learning communities.
  4. AI for Overcoming Global Disparities in Cancer Care
    Identify the potential of AI to overcome global disparities in access, diagnosis, and treatment in cancer care.
  5. Beyond “tabula rasa” in reinforcement learning: agents that remember, adapt, and generalize
    Bring together researchers from different backgrounds working on how to extend current RL algorithms to operate in changing environments and tasks.
  6. Bridging AI and Cognitive Science (BAICS)
    Inspire connections between AI and cognitive science across a broad set of topics.
  7. Computer Vision for Agriculture (CV4A)
    Expose the progress and unsolved problems of computational agriculture to the AI research community.
  8. Causal learning for decision making
    Investigate how much progress is possible by framing the learning problem beyond learning correlations, that is, by uncovering and leveraging causal relations.
  9. Integration of Deep Neural Models and Differential Equations
    Where theoretical and experimental researchers can come together to join forces towards the goal of integration of deep neural networks and differential equations.
  10. Fundamental Science in the era of AI
    How can AI help deal rigorously with the data deluge of “big science”? How can AI help amplify the social impact of fundamental science?
  11. ML-IRL: Machine Learning in Real Life
    Examine how we develop, evaluate, and deploy ML in real life applications, and discover problematic implications.
  12. Neural Architecture Search
    Build a strong, open, inclusive, and welcoming community of colleagues working on neural architecture search.
  13. Practical ML for Developing Countries: learning under limited/low resource scenarios
    Bring together researchers, experts, policy makers, and related stakeholders under the umbrella of practical ML for developing countries.
  14. Towards Trustworthy ML: Rethinking Security and Privacy for ML
    Bring together experts from a variety of communities (ML, computer security, data privacy, fairness, & ethics) to work on promising ideas and research directions.
  15. Tackling Climate Change with Machine Learning
    Show that ML can be an invaluable tool both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change.

🏕 A Virtual Format for Workshops

  • Pre-recorded videos will be used for all keynote talks, contributed talks, and posters. Posters are also presented as short videos.
  • A Q&A tool will be used to gather questions for the keynotes throughout the day
  • A moderator will be available to read out submitted questions, as well as to coordinate and take any live questions.
  • There will be dedicated blocks of time for live engagement (in a chosen timezone), where live content, such as panel discussions, live poster spotlights, and Q&A sessions are hosted.
  • All content will be accessed through the individual webpages of the workshops.

🟢 Conference Status and Updates

  • Virtual Socials/Booths: Takes 5 mins. Submit a proposal to help shape one of the social-elements of Virtual ICLR. Submit by 13 April.
  • Registration: Already open, go to iclr.cc for details.
  • Workshops: Organiser’s discuss on your Slack group; general workshop instructions.
  • Questions: Check the FAQ, which we update regularly.

--

--

--

International Conference on Learning Representations

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Why the future of customer service is in your face

Quant Workflow

Modern Chatbots with Rocketchat

Pulse 9 Opens AI Art Gallery

We’re told to fear robots. But why do we think they’ll turn on us?

If You’re Scared of Artificial Intelligence, You Should Know It’s Already Everywhere

Here’s what happened when a scientist asked an AI to name new paint colors

Machine Learning in Medical Imaging: Is Your Machine Doctor Fair and Trustworthy?

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
ICLR

ICLR

International Conference on Learning Representations

More from Medium

AI or die: the race to AI solutions implementation

Practical data ethics: summary of what we’re learning

AI Models in Production — The Beginning of the end

‘The collaboration between humans and machines needs to be redefined.’

Collage of five persons in close portrait