ICML 2019 Meta-Learning Tutorial

Search this site p Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning ICML 2019 Tutorial Abstract In recent years, high-capacity models, such as deep neural networks, have enabled very powerful machine learning techniques in domains where data is plentiful. However, domains where data is scarce have proven challenging for such methods because high-capacity function approximators critically rely on large datasets for generalization. This can pose a major challenge for domains r

9 mentions: @svlevine@learn_learning3@learn_learning3@chelseabfinn@hamadakoichi@ottamm_190@tensorBored@GygliMichael
Date: 2019/06/10 20:17

Referring Tweets

@chelseabfinn Great to see lots of interest in meta-learning at #CVPR2019 ! Had trouble getting in the room to give my talk. My talk was based on our @icmlconf tutorial with @svlevine Slides, video, references here: https://t.co/i2PkrXb53p https://t.co/022LGTYjCZ https://t.co/lhCBRqBBRy
@svlevine We've compiled a meta-reading list for our meta-learning tutorial: https://t.co/3i5zohN4KM Short list of the main papers we covered in our meta-learning tutorial: https://t.co/g3eAcsO0vr https://t.co/TdWZNyn9kB
@learn_learning3 ICML2019Tutorial資料集(1/2) Attention in Deep Learning https://t.co/I8ZqSqZAeu Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning https://t.co/mFH5lCUorS Never-Ending Learning https://t.co/ktTVP3u1oT A Primer on PAC-Bayesian Learning https://t.co/NrZk8qpJRR
@hamadakoichi Tutorial: "Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning" https://t.co/fCN72qG4xk #ICML2019 https://t.co/55IWIGDopW
@GygliMichael Great talk on meta learning by @chelseabfinn at #CVPR2019 Slides and recording are on https://t.co/3NuEbiJd59 https://t.co/yXYCTtiigQ
@learn_learning3 ICML2019のチュートリアル"Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning"の資料 https://t.co/mFH5lCUorS なぜメタ学習が必要か?から始まり,入手データの制限を克服していかに汎用モデルを学習するかという視点でCV, NLP, RLにおけるメタ学習の数理,関連研究を解説 https://t.co/KXwpS42btC
@ottamm_190 ICMLのメタラーニングのチュートリアル資料わかりやすい!! https://t.co/IYJjDueXqG
@tensorBored ‘Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning’ tutorial videos, slides, recommended reading by @chelseabfinn @svlevine https://t.co/BeB0gbhuu2 #ICML2019 #icmlconf2019 of @StanfordAILab @berkeley_ai @GoogleAI Brain @Stanford https://t.co/msdctuCtcB https://t.co/tEbaGdgrFR

Related Entries

Read more GitHub - fchollet/keras-resources: Directory of tutorials and open-source code repositories for work...
0 users, 0 mentions 2018/04/22 03:41
Read more MIRU2018 tutorial
0 users, 0 mentions 2018/08/05 06:23
Read more Icml2018読み会_overview&GANs
0 users, 0 mentions 2018/07/28 06:23
Read more [KDD 2018 tutorial] End to-end goal-oriented question answering syste…
0 users, 0 mentions 2018/08/22 06:23
Read more GitHub - hindupuravinash/nips2016: A list of resources for all invited talks, tutorials, workshops a...
0 users, 0 mentions 2018/04/22 03:40