Description
Date: March 23, 2023
Time: 1:00 p.m. – 6:00 p.m. (JST)
00:00:06 Speaker: Mengmi ZHANG, A*STAR-CFAR
Title: What AI cannot do but humans can: closing research gaps with neuroscience-inspired approaches
00:18:48 Speaker: Shuo Chen, RIKEN AIP
Title: Robust Contrastive Learning and Its Applications
00:43:09 Speaker: Chuang Sheng FOO, A*STAR-CFAR
Title: A Fourier Perspective on Robustness
01:06:28 Speaker: Joo Hwee LIM, A*STAR-CFAR
Title: AGI: Challenges and Opportunities
01:44:11 Speaker: Xiaoyu Dong, RIKEN AIP
Title: Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
01:59:06 Speaker: Xiaoli LI, A*STAR-CFAR
Title: Sustainable AI: The Challenges and Innovations
02:28:16 Speaker: Joey ZHOU, A*STAR-CFAR
Title: Efficient sharpness-aware learning
02:49:33 Speaker: Kazusato Oko, RIKEN AIP
Title: Diffusion Models are Minimax Optimal Distribution Estimators: fine-grained analysis of diffusion models from statistical learning theory
03:13:17 Speaker: Ivor Tsang, A*STAR-CFAR
Title: A Bayesian Perspective of Noisy Labels
[Not available ]
Speaker: Yew Soon Ong, A*STAR-CFAR
Closing Remarks
The event page url:
https://aip.riken.jp/events/event_152442/
