The thirty eighth International Conference on Machine Learning (ICML) is now in full swing and will run for the entirety of this week (18 – 24 July), in a virtual only format. This compilation of tweets gives a flavour of the talks, workshops, socials, and other events taking place.
Watch it here (registration needed 🙁 ): https://t.co/Zf3MzwTrHn
I hope it becomes available after the conference for everybody @icmlconf
— Maximilian Ilse (@MaxIlse) July 21, 2021
🧵We are pleased to announce the ICML 2021 paper awards. Congratulations to all authors!
Test of the Time Award from ICML 2011:
• Max Welling and Yee Whye Teh
📜Bayesian Learning via Stochastic Gradient Langevin Dynamics
— ICML Conference (@icmlconf) July 19, 2021
Queer in AI at #ICML2021 kicked off with a 🌟 fantastic 🌟 talk by @sarameghanbeery! After retiring from her career as a professional ballerina at 22, she studied electrical engineering with the intent to use it for social good, and now works on Computer Vision for ecology! (1/4) pic.twitter.com/CW3jfLR2Q9
— QueerInAI (@QueerinAI) July 19, 2021
— Pablo Samuel Castro (@pcastr) July 19, 2021
— LatinX in AI (LXAI) @ ICML (@_LXAI) July 19, 2021
#WIML2021 @icmlconf features a panel session with wonderful panelists below. There will be discussions on “industry/academic research, how to choose your path” and “post-pandemic adjustment and tips” followed by an AMA. Please submit your questions in https://t.co/WX9kZRk82X. pic.twitter.com/RNplxvsuQG
— WiML (@WiMLworkshop) July 20, 2021
Happy #ICML2021 week! Quick reminder that my tutorial and Q&A on synthetic data with @_ahmedmalaa is TODAY at 16:00 BST (17:00 CEST, 11:00 EDT, 08:00 PDT). Join us to learn more about breaking the data logjam and catalyzing a revolution in healthcare: https://t.co/XMdwOfr1uQ pic.twitter.com/EdhJk1gPE1
— Mihaela van der Schaar (@MihaelaVDS) July 19, 2021
If you are attending #ICML2021, please join our tutorial on #ResponsibleAI in Industry with @packer_ben @MSameki @phenomenashlie (8am PT on July 19). https://t.co/oxhLa3RBtr https://t.co/iAwfmTM6hC #ExplainableAI #Fairness #Privacy #MachineLearning #CaseStudies pic.twitter.com/ECT7N48iHi
— Krishnaram Kenthapadi (@kkenthapadi) July 19, 2021
Our student, Wu Lin, will be presenting his paper at #ICML2021 https://t.co/X6nOQSZaEmhttps://t.co/91e5o86sOb
and also be presenting at the "Beyond first-order methods" workshop.
This is an elegant extension of Bayes Learning Rule
— Emtiyaz Khan (@EmtiyazKhan) July 21, 2021
How to best go about finding collaborations & plan projects at the intersection of #ML & #ClimateChange? We'll discuss this question in a panel at our #ICML2021 workshop, featuring @piafaustino, Costas Spanos, Rosana de Oliveira Gomes & @andrew_zolli.🤝👩🔬https://t.co/OULOHx3iW4 pic.twitter.com/383WldGN51
— Climate Change AI (@ClimateChangeAI) July 19, 2021
The Black in AI social at ICML 2021 is happening tomorrow!
We will be discussing initiatives we've been working on to keep the community strong and plans to support our members starting companies!
ICML registration is required for this event!
— Black in AI (@black_in_ai) July 19, 2021
If you are getting your latest fix of all things ML at #ICML2021 this week, join us for a fun Social later 5pm UK (noon EST | 7pm CET). We are having a debate 🧑🏾⚖️. Will be light-hearted, but I'm sure will cover a lot. There's also a vote! See you later 👋 . https://t.co/dNxzCpITWI pic.twitter.com/J39sGUwDHT
— Shakir Mohamed (@shakir_za) July 20, 2021
If you are working on meta-RL, you should use DREAM. It’s simple & ~quadratically more efficient than end-to-end training.
— Chelsea Finn (@chelseabfinn) July 18, 2021
Excited to share our new work on measuring and mitigating social biases in pretrained language models, to appear at #ICML2021!
— Paul Liang (@pliang279) July 16, 2021
Hey #ICML2021! Come chat about
•Causal effects under 𝚕𝚊𝚝𝚎𝚗𝚝🕵️𝚌𝚘𝚗𝚏𝚘𝚞𝚗𝚍𝚒𝚗𝚐 via 𝚙𝚛𝚘𝚡𝚒𝚎𝚜🥸, Poster Ses 3
•Predicting outcomes of 𝚗𝚎𝚠 𝚒𝚗𝚝𝚎𝚛𝚟𝚎𝚗𝚝𝚒𝚘𝚗𝚜💉on 𝚌𝚘𝚖𝚙𝚕𝚎𝚡 𝚘𝚋𝚓𝚎𝚌𝚝𝚜🖼️📄🧬feat. 𝚌𝚊𝚞𝚜𝚊𝚕 𝚒𝚗𝚟𝚊𝚛𝚒𝚊𝚗𝚌𝚎, Poster Ses 6 pic.twitter.com/Rw148ThhJ3
— Limor Gultchin (@gultchin) July 20, 2021
Real-world data can contain a lot of correlations but what does this mean for disentanglement learning? Happy to share that our paper “On Disentangled Representations Learned From Correlated Data” is ready for #ICML2021!
— Frederik Träuble (@f_traeuble) July 20, 2021
Super excited to host a mentoring session at @icmlconf. Do join in for some Ph.D. advice, research in ML for Health and wellbeing in academia. Looking forward to meeting prospective Ph.D.'s! #ICML2021 #AcademicTwitter #phdadvice #phdchat #MachineLearning https://t.co/S9nCPtlih5
— Monica M Reddy (@monicamreddy) July 19, 2021
— Yoichi Chikahara (@yoichi_chika) July 21, 2021
Shout out to all the #ICML2021 presenters that went through the effort of meticulously updating all subtitles. I too enjoy Bayesian learning over Beyonce learning.
— Dustin Tran (@dustinvtran) July 20, 2021
It's a lot of fun watching the automated transcription of these @icmlconf talks. My favorite one: "Mushroom learning community"
— Thomas G. Dietterich (@tdietterich) July 22, 2021