Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers Contextual bandits with concave rewards, and an application to fair ranking We consider Contextual Bandits with Concave Rewards (CBCR), a multi-objective bandit problem where the desired trade-off between the rewards is defined by a known concave objective function, and the reward vector depends on an observed stochastic context. We present the first algorithm with provably... Extracting Training Data from Diffusion Models Image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have attracted significant attention due to their ability to generate high-quality synthetic images. In this work, we show that diffusion models memorize individual images from their training data and emit them at generation time... SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images Visual question answering on document images that contain textual, visual, and layout information, called document VQA, has received much attention recently. Although many datasets have been proposed for developing document VQA systems, most of the existing datasets focus on understanding the... More featured content News Articles Artificial intelligence shines light on the dark web AI develops human-like number sense – taking us a step closer to building machines with general intelligence Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank Google’s algorithms discriminate against women and people of colour How to tell whether machine-learning systems are robust enough for the real world Wireless movement-tracking system could collect health and behavioral data Merging cell datasets, panorama style Citation Statistics of Machine Learning Papers Canadian health care needs agile leaders and bold visions for the future Smarter training of neural networks Using AI to predict breast cancer and personalize care More news