#MetaLearning

The Machine Comprehension team at @MSRMontreal recently developed a neural mechanism for #metalearning that they call conditionally shifted neurons: #ICML2018

★★★Complete tutorial on Automated Hyperparameter Tuning for #MachineLearning in #Python using Bayesian optimization: ————— #MetaLearning #BigData #DataScience #Algorithms #AI #NeuralNetworks #100DaysOfCode ———— ➕See this book:

Excited about my first invited talk @ Meta Learn NeurIPS 2020 on #MetaLearning general-purpose Learning Algorithms. Includes #MetaGenRL and new work on #VSML. Unifies learned learning rules and learning in activations. Can learn to backprop. 16:00 UTC

Want to know what likelihood-free inference is and how #metalearning can help science? Read our new article w/ @WehenkelAntoine: distilling our recent paper Recurrent Machines for Likelihood-Free Inference published at the NeurIPS 2018 MetaLearn workshop

📚 Experience learning like never before with #MetaZooMee's Virtual Education! Interactive classrooms, virtual field trips, and global student collaboration. Redefine your educational journey in our dynamic metaverse! 🌐 #MetaLearning #VirtualClassroom $MZM

Koopman Operator Theory provides a framework for #metalearning of #neuralnetworks . Our paper - accepted as #NeurIPS highlight - with @wredman4 et al. provides methodology for comparing neural network training protocols. #AI #ML #KoopmanOperator #DynamicalSystems

[ 🌌 Algorithms That Invent Algorithms ] AI‑GA Meta‑Evolution Demo (v2): #AGI #AGIALPHA #MetaLearning

Come and join me to talk about #metalearning for #earthobservation 🛰 I ll walk you through METEOR, that learn new EO task in a few shot setting! At poster 147, hall A, #CVPR2023 Amazing joint work with @MarcCoru @b_kellenb @sherwang @RibanaRoscher

Thrilled to be the opening keynote for the International Higher Education Teaching & Learning Conference in Istanbul, Türkiye tomorrow! #T3Framework #LitZone #MetaLearning #T3EduProtocols #TLAP @burgessdave @TaraMartinEDU @EduinnovationL @VisibleLearning

Richard Sutton's observations hit several important developments towards the future of #AI. But how will we get to #metalearning? Artificial Intelligence – A Bitter-Sweet Symphony in Modelling #DeepLearning @Marktechpost @TimeMachineEU @FAU_Germany

What Is #Unsupervised #MetaLearning For #ReinforcementLearning #fintech #AI #ArtificialIntelligence #MachineLearning #DeepLearning #BigData @Analyticsindiam @HaroldSinnott @Ronald_vanLoon @jblefevre60 @Fisher85M @Paula_Piccard @YuHelenYu @Thomas_Harrer

Stop learning. Start applying. You have enough information to change your life 10 times over. You just never used any of it. Tag someone who needs this today. #metalearning #mindset

#nips17 keynote @pabbeel pieces to AI robotic puzzle & references. #metalearning #rl

And now @WehenkelAntoine and @artix41 presenting their work on « Recurrent machines for likelihood-free inference » #MetaLearning #NeurIPS2018

That's a wrap! Thanks to all speakers, presenters, organizers, and attendees for this fascinating #NeurIPS2020 #metalearning workshop! @FrankRHutter @ermgrant @janexwang @FrancescoVisin @tmh31 @LouisKirschAI @luisa_zintgraf @KuanFang Kate Rakelly @jeffclune

[ Alpha‑Factory v1 👁️✨ — Backend Agents Suite ] Watch raw data transmute into strategy in real-time. Demo ↓ #AGI #AGIALPHA #MetaLearning

#MeethaDahi and #Metadata A summer evening of meta-learning and metacognition PHDMA way of thinking beyond the usual and brainstorming for another metamorphosis in MnEnD #metalearning #metacognition #metamorphosis #MnEnD #PHDMA #monitoring #evaluation #documentation #odisha

If you’d like to do a PhD in #AutoML or #MetaLearning in my group at the #ELLIS unit Freiburg, or in another ELLIS unit co-supervised by me, please apply to the ELLIS PhD program and indicate your interest in working with me: The deadline is December 1st!

By popular demand we extended the deadline for the #MetaLearning workshop at #NeurIPS2021 to September 29th. This is the day after the #ICLR2022 abstract deadline, so you can submit as a milestone for polishing up your ICLR submissions.

Check out our recent work on the convergence theory of Model-Agnostic #MetaLearning (MAML) methods on arXiv: Joint work with @AryanMokhtari and Asu Ozdaglar.