DanielLin94144/MLSS-2021-Taipei-Collaborative-Notes

MLSS-2021 Taipei Collaborative Notes

:::success Welcome to MLSS-2021 Taipei! ::: :::info

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• This is a page to enter all the collaborative notes. :::

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Week 1

8/2

• Large scale learning and planning in reinforcement learning
• Cost-sensitive Classification: Techniques and Stories

8/3

• Theory of deep learning

8/4

• Probability Divergences and Generative Models

8/5

• Neuro-symbolic systems and the history of AI
• Fundamentals and Applications of Deep Reinforcement Learning
• Optimal transport

8/6

• Holistic Adversarial Robustness for Deep Learning

Week 2

8/9

• An introduction to Statistical Learning Theory and PAC-Bayes Analysis

8/10

• Pre-training for Natural Language Processing
• Deep Learning for Speech Processing

8/11

• Computer Vision
• TinyML and Efficient Deep Learning

8/12

• Meta Learning for Human Language Processing

8/13

• Interpretable machine learning
• Overview of learning quantum states

Week 3

8/16

• ML privacy

8/17

• Continual Visual Learning

8/19

• Machine Learning for Dynamic Environment
• Geometric Deep Learning

tags: MLSS-2021