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Stanford CS330 Deep Multi-Task & Meta Learning - What is multi-task learning? I 2022 I Lecture 1
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Deep Multi-Task and Meta Learning - Autumn 2022
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- 1 Stanford CS330 Deep Multi-Task & Meta Learning - What is multi-task learning? I 2022 I Lecture 1
- 2 Stanford CS330 Deep Multi-Task & Meta Learning - Multi-Task Learning Basics I 2022 I Lecture 2
- 3 Stanford CS330 Deep Multi-Task & Meta Learning - Transfer Learning, Meta Learning l 2022 I Lecture 3
- 4 Stanford CS330 Deep Multi-Task & Meta Learning - Black Box Meta Learning l 2022 I Lecture 4
- 5 Stanford CS330 Deep Multi-Task & Meta Learning - Optimization-Based Meta-Learning l 2022 I Lecture 5
- 6 Stanford CS330 Deep Multi-Task & Meta Learning - Non-Parametric Few-Shot Learning l 2022 I Lecture 6
- 7 Stanford CS330 I Unsupervised Pre-Training:Contrastive Learning l 2022 I Lecture 7
- 8 Stanford CS330 I Unsupervised Pre-training for Few-shot Learning l 2022 I Lecture 8
- 9 Stanford CS330 I Advanced Meta-Learning TopicsTask Construction l 2022 I Lecture 9
- 10 Stanford CS330 I Advanced Meta-Learning 2: Large-Scale Meta-Optimization l 2022 I Lecture 10
- 11 Stanford CS330 I Variational Inference and Generative Models l 2022 I Lecture 11
- 12 Stanford CS330 Deep Multi-Task & Meta Learning - Bayesian Meta-Learning l 2022 I Lecture 12
- 13 Stanford CS330 Deep Multi-Task & Meta Learning - Domain Adaptation l 2022 I Lecture 13
- 14 Stanford CS330 Deep Multi-Task & Meta Learning - Domain Generalization l 2022 I Lecture 14
- 15 Stanford CS330 Deep Multi-Task & Meta Learning - Lifelong Learning I 2022 I Lecture 15
- 16 Stanford CS330 Deep Multi-Task & Meta Learning - Frontiers and Open Challenges I 2022 I Lecture 16
- 17 Stanford CS330 Deep Multi-Task & Meta Learning - Percy Liang Guest Lecture I 2022 I Lecture 17
