#meta_learning search results
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 arxiv.org/abs/2002.07948
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. arxiv.org/abs/2002.05135
What do you think are the chances that a machine would be developing in a way that could pose a threat to humans? Self improvement through self prompting represents such a possible scenario as explained below. #meta_learning #AI #AI_takeover #self_improve medium.com/@melnawawy1980…
💡#meta_learning / learning to learn - a #nested_optimization_problem meta-learning - "being aware of and taking control of one’s own learning" - John Biggs paperswithcode.com/paper/generali… pub.towardsai.net/a-gentle-intro…
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 arxiv.org/abs/2002.07948
arxiv.org/abs/2007.02933 대칭 구조에 따라 weight sharing이 발생하도록 weight를 reparameterize한 다음 이 대칭 구조를 메타 러닝으로 학습. #group_equivariance #meta_learning
Today I completed the introduction section of my paper which is about #meta_learning. #100DaysOfMLCode Day 3
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
Tx Patrick, great community service! We got something on #meta_learning ensembles of (EE, EI, II & IE) #plasticity rules in large #spiking networks using simulation based #inference with @jakhmack @basile_cfx @pramesh95 & @ppjgoncalves. Tweeprint coming. openreview.net/forum?id=FLFas…
There is 'no free lunch' theory, but there is cheaper #meta_learning #ML
Hey @radekosmulski followed you from FASTAI community to here. I really enjoy your posts and answers on FASTAI forum, currently I'm a Data Science research scholar, would love to collaborate with you someday for FASTAI series. Also thanks for the Great book #Meta_learning.
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: arxiv.org/pdf/2007.05852… Joint work with @AdibiArman and @AryanMokhtari 1/n
Our new model #RML: adaptive behaviour and #meta_learning through dACC-midbrain interaction
Dorsal Anterior Cingulate-Midbrain Ensemble As A Reinforcement Meta-Learner biorxiv.org/cgi/content/sh… #biorxiv_neursci
Starting in 40 mins! Registration link: sites.google.com/view/one-world… I will talk about our work on the theory of Model-Agnostic #Meta_Learning (MAML (proceedings.mlr.press/v108/fallah20a) and its application to #Federated_Learning for achieving personalization (arxiv.org/abs/2002.07948).
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 sites.google.com/view/one-world… and I will send a link to the Zoom meeting to you via email.
#AI #IA #Meta_Learning #Learning_to_Learn #Meta_Reasoning #Artificial_General_Intelligence #Efficient_Algorithms #Multi_Tasking forbes.com/sites/cognitiv…
zpr.io/tjwps "Improving the adaptability of #AIsystems has been one of the core areas of research of an increasingly popular discipline known as #meta_learning that focuses on improving the learning abilities of #AIagents."
#meta_learning itself is not super hot news, it's been around for a while (see also proceedings.neurips.cc/paper/2020/has…), but it's been limited to small networks and simple rules because it's computationally pretty expensive to model spikes, and run sims for plasticity-relevant durations.
PS it all works better on ALBERT, but their suggestion is extreme and has some #meta_learning Implications, so it is to be expected.
What do you think are the chances that a machine would be developing in a way that could pose a threat to humans? Self improvement through self prompting represents such a possible scenario as explained below. #meta_learning #AI #AI_takeover #self_improve medium.com/@melnawawy1980…
#meta_learning itself is not super hot news, it's been around for a while (see also proceedings.neurips.cc/paper/2020/has…), but it's been limited to small networks and simple rules because it's computationally pretty expensive to model spikes, and run sims for plasticity-relevant durations.
💡#meta_learning / learning to learn - a #nested_optimization_problem meta-learning - "being aware of and taking control of one’s own learning" - John Biggs paperswithcode.com/paper/generali… pub.towardsai.net/a-gentle-intro…
In this article, by Vladimir Lyashenko, you’ll find: - What #FewShotLearning is - FSL variations - FSL approaches - Meta-Learning algorithm - Algorithms for Few-Shot Image Classification - Few-Shot Object Detection Check it out! bit.ly/37SHTGs
neptune.ai
Understanding Few-Shot Learning in Computer Vision: What You Need to Know
Explore Few-Shot learning in computer vision, from foundational concepts to algorithms, including object detection nuances.
A novel decision tree-based meta-learning framework for FSL with few examples. 📄 arxiv.org/abs/2203.01482…
Latest #MachineLearning Research From @DeepMind Explores The Connection Between Gradient-Based Meta-Learning And Convex Optimization: marktechpost.com/2023/01/14/lat… by @Marktechpost ——— #Mathematics #ReinforcementLearning #AI #BigData #DataScience #Algorithms #DeepLearning
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 arxiv.org/abs/2002.07948
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: arxiv.org/pdf/2007.05852… Joint work with @AdibiArman and @AryanMokhtari 1/n
arxiv.org/abs/2007.02933 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: sites.google.com/view/one-world… I will talk about our work on the theory of Model-Agnostic #Meta_Learning (MAML (proceedings.mlr.press/v108/fallah20a) and its application to #Federated_Learning for achieving personalization (arxiv.org/abs/2002.07948).
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 sites.google.com/view/one-world… and I will send a link to the Zoom meeting to you via email.
#AI #IA #Meta_Learning #Learning_to_Learn #Meta_Reasoning #Artificial_General_Intelligence #Efficient_Algorithms #Multi_Tasking forbes.com/sites/cognitiv…
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 arxiv.org/abs/2002.07948
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. arxiv.org/abs/2002.05135
There is 'no free lunch' theory, but there is cheaper #meta_learning #ML
PS it all works better on ALBERT, but their suggestion is extreme and has some #meta_learning Implications, so it is to be expected.
zpr.io/tjwps "Improving the adaptability of #AIsystems has been one of the core areas of research of an increasingly popular discipline known as #meta_learning that focuses on improving the learning abilities of #AIagents."
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. arxiv.org/abs/2002.05135
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 arxiv.org/abs/2002.07948
arxiv.org/abs/2007.02933 대칭 구조에 따라 weight sharing이 발생하도록 weight를 reparameterize한 다음 이 대칭 구조를 메타 러닝으로 학습. #group_equivariance #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 arxiv.org/abs/2002.07948
💡#meta_learning / learning to learn - a #nested_optimization_problem meta-learning - "being aware of and taking control of one’s own learning" - John Biggs paperswithcode.com/paper/generali… pub.towardsai.net/a-gentle-intro…
zpr.io/tjwps "Improving the adaptability of #AIsystems has been one of the core areas of research of an increasingly popular discipline known as #meta_learning that focuses on improving the learning abilities of #AIagents."
Tx Patrick, great community service! We got something on #meta_learning ensembles of (EE, EI, II & IE) #plasticity rules in large #spiking networks using simulation based #inference with @jakhmack @basile_cfx @pramesh95 & @ppjgoncalves. Tweeprint coming. openreview.net/forum?id=FLFas…
Something went wrong.
Something went wrong.
United States Trends
- 1. Grammy 223K posts
- 2. Clipse 13.5K posts
- 3. Kendrick 50.3K posts
- 4. Dizzy 8,357 posts
- 5. olivia dean 11.3K posts
- 6. addison rae 18K posts
- 7. gaga 86.9K posts
- 8. AOTY 16.4K posts
- 9. Leon Thomas 14.3K posts
- 10. Katseye 96.9K posts
- 11. #FanCashDropPromotion 3,355 posts
- 12. Kehlani 29.3K posts
- 13. ravyn lenae 2,359 posts
- 14. lorde 10.5K posts
- 15. Durand 4,225 posts
- 16. Album of the Year 52.5K posts
- 17. Alfredo 2 N/A
- 18. The Weeknd 9,642 posts
- 19. #FridayVibes 6,688 posts
- 20. Luther 21.4K posts