Lecture 4. Non-Parametric Meta-Learners

[jinmang2]

21년 2월 4일 발표자료 준비

[jinmang2]

링크 모음

• Bayesian Meta Learning is all you need
• Torchmeta
• 베이지안 추론 Empirical Bayes (EB) Approach 란?
• Understanding empirical Bayes estimation (using baseball statistics)
• 최대우도법(MLE)
• Meta-Learning: Learning to Learn Fast
• Meta-Learning with Implicit Gradients
• Conjugate Gradients
• Infinite Mixture Prototypes
• RelationNet
• Empirical Bayes Method
• Erin Grant | Meat-Learning as hierarchical modeling
• AAAI 2021 Meta Learning Tutorial
  • https://sites.google.com/mit.edu/aaai2021metalearningtutorial
• ML 확률론
• Meta-Learning with Implicit Gradients
• How do you generate positive definite matrix in pytorch?
• 켤레 기울기
• iMAML
• Notes on iMAML: Meta-Learning with Implicit Gradients
• OpenAI Reptile