I just had the joy of moderating a fascinating #AAAI2021 plenary talk by @prfsanjeevarora, "Opening the Black Box of Deep Learning". People are actually starting to understand dynamics of gradient descent; GANs; generalization; why LMs work. Amazing stuff! https://t.co/hI8mjDvcGn pic.twitter.com/eKg4ksP86x

— Kevin Leyton-Brown (@k_leyton_brown) February 7, 2021

Giving a plenary talk today @RealAAAI #AAAI2021 on
"Opening the black box of deep learning (+ take-aways for AI)" https://t.co/U4Hx5hCQpS

— Sanjeev Arora (@prfsanjeevarora) February 6, 2021

Quite amazing to hear @kaifulee at #AAAI2021 — intriguing insights on how China achieved its global AI position; the future of AI innovation; and on what scientists need to unlearn when they go entrepreneurial. Good suggestions on what industry wants from AI scientists. pic.twitter.com/klGGG4biMU

— Mausam (IITD) (@mishumausam) February 7, 2021

Who will take the challenge? ⁦@luislamb⁩ proposes an exciting research program at the #AAAI2021 Neuro-Symbolic AI Panel. pic.twitter.com/AShvOOGiAH

— Ulrich Junker (@UlrichJunker) February 7, 2021

Hello to everyone attending @RealAAAI's #AAAI2021! @black_in_ai is hosting a social on Tuesday, February 9th at 3:30 pm PST (GMT-8) centered on @robotsmarts's latest book "Sex, Race, and Robots" which dives into ethical questions surrounding the development of robotics, AI! pic.twitter.com/dYvxo40Q0F

— Black in AI (@black_in_ai) February 6, 2021

See you at our @RealAAAI workshop #AIDBEI2021 tomorrow! Papers by @csdoctorsister & @themawhite, @ana__freire, @cinemawaleghosh, @pablorp80, & more. Virtual conference: #AAAI2021 Affinity group partners: @black_in_ai @_LXAI @QueerinAI @AiDisability #IndigenousInAI See you there! https://t.co/484QUDqUCQ

— William Hsu @ AAMAS 2024 (@banazir) February 9, 2021

@ThemaWhite & I are speaking at 11a ET : “Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science”

It’s a quant look at public value failures in data spaces — institutional + representation parity incl. grad students + faculty #DataedX https://t.co/Ih5hv4rNPG

— Dr. Brandeis Marshall (she/her) is on LinkedIn (@csdoctorsister) February 9, 2021

It’s great to see examples of AI education in a museum setting! @duri_long at #AAAI2021
Check out https://t.co/ziBIvYHIyW

— Gabrielle Rabinowitz (@GabrielleRab) February 7, 2021

Alex is about to talk about this project at #EAAI2021! If you're at @RealAAAI #AAAI2021, head on over to the EAAI Zoom to see her talk! https://t.co/OQanBFtVWk

— Tom Williams (tomwilliams.phd on bsky) (@williamstome) February 7, 2021

Please join us at GCLR Workshop @RealAAAI #AAAI2021 to listen @GesineReinert talk about her recent work on anomaly detection in networks using spectral methods and network comparison approaches on 9th Feb, 10:20 AM to 11AM EST. More info: https://t.co/bhxZRWPKnK pic.twitter.com/n4EpaiNtlr

— 4th GCLR workshop @AAAI2024 (@GclrW) February 8, 2021

Excited to speak tomorrow at the AI Safety Workshop at #AAAI2021. I will be covering some of our recent works on overcoming negative side effects of AI systems. @AISafetyLands https://t.co/bOvDnJiGwk

— Sandhya Saisubramanian (@sandhya_ai) February 7, 2021

Yesterday Nice workshop at #AAAI2021 about #AutoML "Learning architecture during training" videos available here https://t.co/rPNJgpxURa

— Sébastien Loustau (@seb_loustau) February 9, 2021

Thanks @si_tulli @prashanX2 @rosinaweber and David for organizing! Great to join this #AAAI2021 workshop panel with @freddylecue and @_beenkim to reflect on the advances and open questions in explainable AI, and their impact for industry. My slides https://t.co/9okVnqJI0D https://t.co/WbHJHScKaM

— Vera Liao (@QVeraLiao) February 9, 2021

Today I will give a spotlight talk on "Predicting Patient Outcomes with Graph Representation Learning" at the #DLG workshop at #AAAI2021 🎈 Also check out my co-author @09Emmar's presentation of the same work at the #W3PHIAI workshop https://t.co/1kdhJKZE3N

— Catherine Tong (@egctong) February 8, 2021

We train a humanoid agent to sit on a chair in different styles with hierarchical reinforcement learning. Check out our latest #AAAI2021 paper: https://t.co/KRbFFPFCq8. Collaboration with Yu-Wei Chao, @wfchen9 and @jiadeng pic.twitter.com/yrekfIfWUg

— Jimei Yang @ CVPR (@jimei_yang) February 8, 2021

Today, we will be presenting Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network at #AAAI2021 Meta-Learning and Co-Hosted Competition https://t.co/MIUU6WIVbT pic.twitter.com/GUsUS9k7aZ

— Pavel Kordík (@pavelkordik) February 9, 2021

Love the platform for #AAAI2021! Fun way to collaborate virtually #ai4bc pic.twitter.com/07rvUH9Ctk

— Ashley Griffin (@griffinashleyc) February 8, 2021

#AAAI2021 has successfully concluded! It was a joy working with @mishumausam, @qiangyang, Gabriele Röger, and Yan Liu on the Chairs team (pictured at our official closing), plus many other volunteers too numerous to name! Thanks also to @RealAAAI for amazing professional support. pic.twitter.com/Z8cnDL3ydB

— Kevin Leyton-Brown (@k_leyton_brown) February 9, 2021