Petar Veličković: Congratulations to Heyu for winning ...| Robocrunch AI

Congratulations to Heyu for winning the Best Paper Finalist award at the GroundedML Workshop @iclr_conf! 🎉🎊 Very well deserved & all the more impressive given she is an undergrad!

CNAP extends @andreeadeac22's XLVIN to continuous action spaces, and should be released soon 🦾🤖 pic.twitter.com/E7se5qYE98
— Petar Veličković (@PetarV_93) April 30, 2022

We are delighted by the recognition of AI2’s researchers in this year’s @NeurIPSConf Outstanding Paper Awards! Congratulations to @Swabhz @KrishnaPillutla @rown @jwthickstun @wellecks @YejinChoinka and Zaid Harchaoui whose work will be presented Dec. 7. https://t.co/FixXLFsw4g

Shared by Allen Institute for AI at 12/1/2021

We are happy to announce that @BonPress will sponsor our best paper award. More excitingly, accepted papers at #AdvML2022 workshop now have the option to publish in the Journal of Computational and Cognitive Engineering <https://t.co/csAqrKZ9WJ> with a fast-track review process!

Shared by Pin-Yu Chen at 5/12/2022

Delighted to announce two papers we will present at #NeurIPS2021: on XLVIN (spotlight!), and on transferable algorithmic reasoning. Both summarised in the wonderful linked thread from @andreeadeac22! I'd like to add a few sentiments on XLVIN specifically... thread time! 🧵1/7

Shared by Petar Veličković at 11/5/2021

Happy to share that our paper “On Calibration and Out-of-domain Generalization” is accepted to #NeurIPS2021! Congratulations to the wonderful students who came up with the idea and led the work on this paper: @wald_yoav @amir_feder @d_greenfeld https://t.co/jtyRIoI7Qk 1/15

Shared by Uri Shalit at 11/8/2021

Tremendously excited about Antonin’s first paper — see his thread👇. @AntoninSchrab just started the second year of his PhD @ai_ucl under @ArthurGretton ‘s and my supervision.

Shared by Benjamin Guedj at 10/29/2021

#ProudAdvisor🙂 Congratulations to @YichenJiang9 on being awarded the @Apple AI/ML PhD Fellowship (for extensive work on interpretability+adversarial robustness of multi-hop reasoning/summarization & compositional generalizability) https://t.co/WLGxZFfVf2 https://t.co/hPLGucr6E6

Shared by Mohit Bansal at 3/23/2022

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