ΑΙhub.org
 

Tweet round-up from #ICLR2020


by
07 May 2020



share this:

AIhub | Tweets round-up
Last week saw the International Conference on Learning Representations (ICLR 2020) go virtual. Over 5600 people, from 89 different countries, registered to participate. Here we provide a round-up of tweets from event participants, speakers and organisers.

All content from the conference now available for public viewing

On building the website

Praise for the format and for virtual conferences in general

A happy poster presenter

Getting ready to present

So much to see, so little time

https://twitter.com/reshamas/status/1254409938383896576

Worthwhile attendance at a poster session

https://twitter.com/JurdiRosana/status/1255485367404331008

There were some very interesting keynote presentations

Talk on ViLBERT

From the workshop on NLP for African languages

An online gathering place

Knowledge graphs

Some thoughts on a virtual conference attendance

Taking notes on papers

On the value of adding a video to explain your work




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

The Machine Ethics podcast: moral agents with Jen Semler

In this episode, Ben and Jen Semler talk about what makes a moral agent, the point of moral agents, philosopher and engineer collaborations, and more.

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

  23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

  20 Feb 2026
In this episode, Eleanor and Kerry talk to Beryl Pong about what it means to think about drones as “good” or “ethical” technologies.

Relational neurosymbolic Markov models

and   19 Feb 2026
Relational neurosymbolic Markov models make deep sequential models logically consistent, intervenable and generalisable

AI enables a Who’s Who of brown bears in Alaska

  18 Feb 2026
A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season.

Learning to see the physical world: an interview with Jiajun Wu

and   17 Feb 2026
Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.

3 Questions: Using AI to help Olympic skaters land a quint

  16 Feb 2026
Researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.

AAAI presidential panel – AI and sustainability

  13 Feb 2026
Watch the next discussion based on sustainability, one of the topics covered in the AAAI Future of AI Research report.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence