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 How Much Consistency Is Your Accuracy Worth? Contrast set consistency is a robustness measurement that evaluates the rate at which a model correctly responds to all instances in a bundle of minimally different examples relying on the same knowledge. To draw additional insights, we propose to complement consistency with relative consistency --... Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs Given that a conventional laparoscope only provides a two-dimensional (2-D) view, the detection and diagnosis of medical ailments can be challenging. To overcome the visual constraints associated with laparoscopy, the use of laparoscopic images and videos to reconstruct the three-dimensional (3-D)... Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs Knowledge graph entity typing (KGET) aims at inferring plausible types of entities in knowledge graphs. Existing approaches to KGET focus on how to better encode the knowledge provided by the neighbors and types of an entity into its representation. However, they ignore the semantic knowledge... More featured content News Articles How well do explanation methods for machine-learning models work? Tackling hard computational problems 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 When researchers don’t have the proteins they need, they can get AI to ‘hallucinate’ new structures Seeing the plasma edge of fusion experiments in new ways with artificial intelligence The problem with machine translation: beware the wisdom of the crowd Perfecting pitch perception Fine-Tuning Transformer Model for Invoice Recognition Nonsense can make sense to machine-learning models Our casual use of facial analysis tools can lead to more sinister applications High-Performance Deep Learning: How to train smaller, faster, and better models – Part 2 More news