Discover and read the best of Twitter Threads about #aaai

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3rd workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AID BE I) at #AAAI: a livetweet thread by @banazir

#DiversityInAI #DiverseInAI
@RealAAAI @WiMLworkshop @black_in_ai @_LXAI @QueerinAI @AiDisability #IndigenousInAI
@wimlds @BlackWomenInAI

1/🧡 Screenshot: Zoom attendees ...
Welcoming remarks from @banazir:

There will again be a special issue of Proceedings of Machine Learning Research (#PMLR, an imprint of @JmlrOrg's Journal of #MachineLearning #research) on this workshop.

Video recordings of the workshop will be at DiverseInAI.org.

2/🧡
First presentation: "Hello* - A Beginner's Guide to the Conference Galaxy" - Bethany Chamberlain, Dovile Juodelyte and Veronika Cheplygina

@chamberlain_ba @DrVeronikaCH

Great use of @Mentimeter!

3/🧡 Screenshot of cover slide a...
Read 69 tweets
πŸ“’ In our #ACMMM21 paper, we highlight issues with training and evaluation of π—°π—Ώπ—Όπ˜„π—± π—°π—Όπ˜‚π—»π˜π—Άπ—»π—΄ deep networks. πŸ§΅πŸ‘‡
For far too long, π—°π—Ώπ—Όπ˜„π—± π—°π—Όπ˜‚π—»π˜π—Άπ—»π—΄ works in #CVPR, #AAAI, #ICCV, #NeurIPS have reported only MAE, but not standard deviation.
Looking at MAE and standard deviation from MAE, a very grim picture emerges. E.g. Imagine a SOTA net with MAE 71.7 but deviation is a whopping 376.4 !
Read 17 tweets
[Thread on reviewing for #MachineLearning confs, after receiving the reminder from @iclr_conf (#ICLR)]

Posting response to @iclr_conf's request for reviewing here in the hope (again) that we can change the reviewing structure of ML conferences to promote better science.

1/
Whether it is @NeurIPSConf (#neurips), @icmlconf (#icml), @iclr_conf (#ICLR), @RealAAAI (#aaai) or any other crowded ML conf, the reviewing structure that involves a fixed review window, multiple assigned papers, unlimited supplemental material, etc., promotes the following:

2/
a) Reviews are handed off to inexperienced reviewers, directly or indirectly, due to the time pressure involved.

b) It leaves reviewers with little time to digest the technical details, leading them to potentially miss subtle errors or undervalue the merits of the work.

3/
Read 12 tweets

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