Week 1
| Week 1 | |||||
| Date | 2021/8/2 | 2021/8/3 | 2021/8/4 | 2021/8/5 | 2021/8/6 | 
| Weekday | Mon | Tue | Wed | Thur | Fri | 
| 08:45-09:00 (GMT+8) |  Speaker: Yuh-Jye Lee & | ||||
| 09:00-10:00 (GMT+8) | Speaker: Csaba Szepesvari Title: Large scale learning and planning in reinforcement learning | Speaker: Henry Kautz Title: Neuro-symbolic systems and the history of AI | Speaker: Kai-Wei Chang Title: Bias and Fairness in NLP | Speaker: Pin-Yu Chen Title: Holistic Adversarial Robustness for Deep Learning | |
| 10:00-11:00 (GMT+8) | Speaker: Jason Lee Title: Theory of deep learning | Speaker: Chun-Yi Lee Title: Fundamentals and Applications of Deep Reinforcement Learning | |||
| 11:00-12:00 (GMT+8) | |||||
| 12:00-14:00 (GMT+8) | Break | ||||
| 14:00-14:40 (GMT+8) | Industrial Talk: Google Inc. Speaker: Jason Ma Title: Google Efforts on AI Research and Talent Development | Industrial Talk: Appier Inc. Speaker: Shou-De Lin Title: Machine Learning as a Services: Challenges and Opportunities | Industrial Talk: Perfect Corp. Speaker: Johnny Tseng Title: Transform the Beauty Industry through AI + AR: Perfect Corp’s Innovative Vision into the Digital Era | Industrial Talk: CyberLink Corp. Speaker: David Lee Title: Developing a World-Class AI Facial Recognition Solution – CyberLink FaceMe® | Industrial Talks: – Advantech – Compal Electronics – TAIWAN SHIN KONG SECURITY – Vizuro Taiwan | 
| 15:00-16:00 (GMT+8) | Speaker: Hsuan-Tien Lin Title: Cost-sensitive Classification: Techniques and Stories | Speaker: Marco Cuturi Title: Optimal transport | Speaker: Cho-Jui Hsieh Title: Neural Architecture Search and AutoML | Poster Session 1 | |
| 16:00-17:00 (GMT+8) | Speaker: Arthur Gretton Title: Probability Divergences and Generative Models | ||||
| 17:00-18:00 (GMT+8) | |||||
| 18:00-19:00 (GMT+8) | |||||
Week 2
| Week 2 | |||||
| Date | 2021/8/9 | 2021/8/10 | 2021/8/11 | 2021/8/12 | 2021/8/13 | 
| Weekday | Mon | Tue | Wed | Thur | Fri | 
| 09:00-10:00 (GMT+8) | Speaker: Ming-Wei Chang Title: Pre-training for Natural Language Processing | Speaker: Philipp Krähenbühl Title: Computer Vision | Poster Session 2 | ||
| 10:00-10:30 (GMT+8) | |||||
| 10:30-11:00 (GMT+8) | Speaker: Been Kim Title: Interpretable machine learning | ||||
| 11:00-12:00 (GMT+8) | |||||
| 12:00-20:00 (GMT+8) | Break | ||||
| 20:00-21:00 (GMT+8) | Speaker: John Shawe-Taylor Title: An introduction to Statistical Learning Theory and PAC-Bayes Analysis | Speakers: Thang Vu, Shang-Wen Li Title: Meta Learning for Human Language Processing | |||
| 21:00-22:00 (GMT+8) | Speaker: Hung-Yi Lee Title: Deep Learning for Speech Processing | Speaker: Song Han Title: TinyML and Efficient Deep Learning | Speaker: Srinivasan Arunachalam Title: Overview of learning quantum states | ||
| 22:00-23:00 (GMT+8) | |||||
Week 3
| Week 3 | |||||
| Date | 2021/8/16 | 2021/8/17 | 2021/8/18 | 2021/8/19 | 2021/8/20 | 
| Weekday | Mon | Tue | Wed | Thur | Fri | 
| 09:00-09:30 (GMT+8) | Poster Session 3 | ||||
| 09:30-11:00 (GMT+8) | Panel Discussion Panelists: * Cho-Jui Hsieh * Pin-Yu Chen * Soheil Feizi * Sijia Liu Title: Trustworthy Machine Learning: Challenges and Opportunities | Speaker: Shou-De Lin Title: Machine Learning in Practice – what to do if my ML models fail to achieve a desirable quality ? | |||
| 11:00-11:30 | |||||
| 11:30-12:00 (GMT+8) | |||||
| 12:00-20:00 (GMT+8) | Break | ||||
| 20:00-20:45 (GMT+8) | Speaker: Karteek Alahari Title: Continual Visual Learning | Poster Session 4 | Speaker: Michael Bronstein Title: Geometric Deep Learning | ||
| 20:45-21:00 (GMT+8) | Speaker: Program Committee | ||||
| 21:00-22:00 (GMT+8) | Speaker: Prateek Mittal Title: ML privacy | Panel Discussion Panelists: * Shinji Watanabe * Shang-Wen Li * Mirco Ravanelli * Titouan Parcollet Title:Self-supervised Learning and Universal Modeling for Speech and Audio Processing – Benchmarking and Open-source Toolkits | |||
| 22:00-23:00 (GMT+8) | |||||

