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Talks

Speaker	Affiliation	Title	Date	Details
Prof James Kwok	Hong Kong University of Science and Technology	Learning from Many Tasks in Meta-learning	6 Jan 2023	Read more
Prof Cao Longbing	University of Technology Sydney	Learning Non-IIDness: The Good, the Bad and the Ugly	16 Jan 2023	Read more
Dr Yeung Sai-Kit	Hong Kong University of Science and Technology	Computer Vision and Graphics for Marine Challenges	31 Jan 2023	Read more
Prof Liu Bing	University of Illinois Chicago	Unifying Continual Learning and OOD Detection	21 Feb 2023	Read more
Prof Finale Doshi-Velez	Harvard University	Trustworthy Machine Learning (ML) for Healthcare	28 Feb 2023	Read more
Prof Wang Zheng	Wuhan University	See What You Hide and Hide What You See	25 Apr 2023	Read more
Prof Cao Longbing	University of Technology Sydney	Smart FinTech: AI and Data Science for Finance	17 May 2023	Read more
Prof Robby T. Tan	National University of Singapore	Night Images: Challenges and Solutions from the Perspective of Visibility Enhancement and Object Detection	7 Jun 2023	Read more
Dr Song Le	BioMap and Mohamed bin Zayed University of AI (MBZUAI)	A Family of Pretrained AI Models for Target Discovery and Drug Design	4 Aug 2023	Read more

Speaker	Affiliation	Title	Date	Details
David Bossens	University of Southampton	Robust and Safe Artificial Intelligence	6 Jan 2023	Read more
Prof Nils Thuerey	Technical University of Munich (TUM)	Differentiable Physics Simulations for Deep Learning	12 Jan 2023	Read more
Dr Yang Yibo	JD Explore Academy	How Does Neural Collapse Inspire Us in Reliable Machine Learning?	17 Jan 2023	Read more
Dr Feng Shanshan	Harbin Institute of Technology (Shenzhen)	Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity	18 Jan 2023	Read more
Prof Tang Meng	University of California	Visual Perception with Little Supervision	19 Jan 2023	Read more
Dr Zhang Li	University of Sheffield	Exploring Local Information for Graph Representation Learning	30 Jan 2023	Read more
Dr Liang Zheng	Australian National University	Data-centric Computer Vision	6 Feb 2023	Read more
Prof Atsushi Nitanda	Kyushu Institute of Technology	Optimisation Theory for Neural Networks and Implicit Bias Towards Flat Minima	8 Feb 2023	Read more
Dr Zhou Pan	Sea AI Lab	Learning with Deep Learning: Optimiser and Network Architecture	23 Feb 2023	Read more
Ms Zheng Yijia	Purdue University	Learning Manifold Dimensions with Conditional Variational Autoencoders	15 Mar 2023	Read more
Dr Zhao Bo	Beijing Academy of Artificial Intelligence	Data-efficient Learning with Dataset Condensation	23 Mar 2023	Read more
Assoc Prof Xie Weidi	Shanghai Jiao Tong University	Knowledge-Driven Multimodal Representation Learning	31 May 2023	Read more
Gu Jindong	University of Oxford	Reliable Visual Perception	5 Jul 2023	Read more
Prof Wan Renjie	Hong Kong Baptist University	Neural Radiance Fields with Light Transport Occlusions	12 Jul 2023	Read more
Dr Pang Tianyu	Sea AI Lab Singapore	Improving and Evaluating Adversarial Robustness	5 Dec 2023	Read more
Dr Liu Jun	Singapore University of Technology and Design (SUTD)	Beyond Image Generation - Diffusion Models for 3D Pose and Mesh Recovery	2 Feb 2024	Read more

Speaker	Affiliation	Title	Date	Details
Mr Chaitanya K. Joshi	University of Cambridge	On the Expressive Power of Geometric Graph Neural Networks	15 Feb 2023	Read more
Xu Runsheng	University of California, Los Angeles	The Ultimate Solution for L4 Autonomous Driving: Cooperative Perception	12 Apr 2023	Read more
Wang Kai	National University of Singapore	Reducing the CO2 Emission of Training Deep-learning Models: Towards Efficient Large-Scale Dataset Distillation and Pruning	20 Apr 2023	Read more
Denny Wu	University of Toronto and the Vector Institute	Understanding Modern Machine Learning Models Through the Lens of High-Dimensional Statistics	12 May 2023	Read more
Sachit Menon	Columbia University	Visual Knowledge and Reasoning with Large Language Models: Classification via Description and Visual Inference via Program Execution for Reasoning (ViperGPT)	14 Jun 2023	Read more
Wang Zifeng	Northeastern University	Effective and Efficient Continual Learning	19 Jul 2023	Read more
Lee Yoonho	Stanford University	Distribution-Shift Robustness via Diversity and Non-Learning	17 Aug 2023	Read more

View past talks here.