Top Tweets for #Meta_learning
You can also find the exciting list of accepted papers on our website now: https://t.co/rxtakLOqf2 Covering the breadth of #AutoML, incl. #NAS, #BO, #AutoRL, #meta_learning, #portfolios, #algorithm_selection and many more. Do you also look forward to this as much as we do?
Investigating #Active Learning and Meta-Learning for Iterative Peptide #Design
https://t.co/K52RGdPOm7
@andrewwhite01
#current_issue #MachineLearning #Active_Learning #Meta_Learning
Join us today at #NeurIPS2020 poster session 4 to chat about our recent work on achieving personalization in #Federated_Learning using a #Meta_Learning approach!
When? Today (Wednesday), 12pm-2pm EST!
Where? Town B4, spot A2!
Joint work with @AryanMokhtari and Asu Ozdaglar.
How to add personalization to #Federated_Learning (FL) with heterogeneous distributions? Turns out #Meta_Learning can help!
Check our new work on personalized FL formulation + a provably convergent algorithm!
Joint work with @AryanMokhtari and Asu Ozdaglar
https://t.co/RfZ3ngCPnE
Our very recent work on extending the notion of #Meta_Learning to the discrete setting, and, in particular, #Submodular Maximization.
Excited to share our recent paper on "Submodular Meta-Learning" which extends the Meta-Learning methodology to discrete optimization.
Arxiv link: https://t.co/BigoMif1ug
Joint work with @AdibiArman and @AryanMokhtari
1/n
https://t.co/LPPOLQpnZj
대칭 구조에 따라 weight sharing이 발생하도록 weight를 reparameterize한 다음 이 대칭 구조를 메타 러닝으로 학습. #group_equivariance #meta_learning
Starting in 40 mins! Registration link: https://t.co/mx38X0ONGs
I will talk about our work on the theory of Model-Agnostic #Meta_Learning (MAML (https://t.co/DwiqIjdr7M) and its application to #Federated_Learning for achieving personalization (https://t.co/RfZ3ngldZ4).
Alireza Fallah (@afallah94 @MIT) will give the 7th FLOW (Federated Learning One World) seminar (@flow_seminar) talk via Zoom today in 2 hrs (at 1pm UTC). Register here if you want to attend https://t.co/ER4hggylBL… and I will send a link to the Zoom meeting to you via email.
How to add personalization to #Federated_Learning (FL) with heterogeneous distributions? Turns out #Meta_Learning can help!
Check our new work on personalized FL formulation + a provably convergent algorithm!
Joint work with @AryanMokhtari and Asu Ozdaglar
https://t.co/RfZ3ngCPnE
Going from supervised learning to #Reinforcement_Learning, what could change in the convergence analysis of Model-Agnostic #Meta_Learning (MAML) methods? Our paper provides an answer to this question!
Joint work with @AryanMokhtari and Asu Ozdaglar.
https://t.co/GUumT5pRIa
@PlanOnAtlas #curriculum_design
#knowledge
#skills
#character
#meta_learning https://t.co/ak4VhOwACt
Today I finished one-third of Experiments and Results section of my paper, which is about #Meta_Learning.
#100DaysOfMLCode Day 12
Today I wrote half of Related Works Section of my paper which is related to #Meta_learning and #NeuralArchitectureSearch.
#100DaysOfMLCode Day 4
Today I completed the introduction section of my paper which is about #meta_learning.
#100DaysOfMLCode Day 3
Our new model #RML: adaptive behaviour and #meta_learning through dACC-midbrain interaction https://t.co/yezNhBceVx
Dorsal Anterior Cingulate-Midbrain Ensemble As A Reinforcement Meta-Learner https://t.co/YlFj5ZIc5H #biorxiv_neursci
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