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Abdelrahman Mohamed, Research Scientist, Facebook AI ResearchRecent advances in speech representation learningSelf-supervised representation learning methods recently achieved great successes in NLP and computer vision domains, reaching new

Mihaela van der Schaar, John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine, University of Cambridge; Turing Fellow, The Alan Turing Institute in London; Chancellor’s Professor, UCLAWhy medicine is creating

Oriol Vinyals, Research Scientist, Google DeepMindAlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning Games have been used for decades as an important way to test and evaluate the performance of artificial

Yanping Huang, Staff Software Engineer, Google BrainGShard: Scaling Giant Models with Conditional Computation and Automatic Sharding  Neural network scaling has been critical for improving the model quality in many real-world machine

Fausto Milletari, Lead of Applied AI, Johnson and JohnsonVolumetric medical image processing with deep learning One of the fundamental capabilities of deep learning is its ability of accomplishing a multitude of tasks by learning features

Andrey Zhmoginov, Research Software Engineer, Google AIImage understanding and image-to-image translation through the lens of information loss The computation performed by a deep neural network is typically composed of multiple processing stages

 Muyinatu A. Lediju Bell, Assistant Professor of Electrical and Computer Engineering, Biomedical Engineering, and Computer Science, Johns Hopkins UniversityUltrasound Image Formation in the Deep Learning AgeThe success of diagnostic and

Sanja Fidler, Department of Computer Science, University of Toronto; and Director of AI, NVIDIA corporationTowards AI for 3D Content Creation3D content is key in several domains such as architecture, film, gaming, and robotics. However, creating 3D

Ruslan Salakhutdinov, UPMC Professor of Computer Science, Department of Machine Learning, Carnegie Mellon UniversityIntegrating Domain-Knowledge into Deep Learning.In this talk I will first discuss deep learning models that can find semantically

Colin Raffel; Assistant Professor of Computer Science; University of North Carolina, Chapel Hill; and Staff Research Scientist, Google BrainT5 and large language models: The good, the bad, and the uglyT5 and other large pre-trained language