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 Novel Class Discovery for 3D Point Cloud Semantic Segmentation Novel class discovery (NCD) for semantic segmentation is the task of learning a model that can segment unlabelled (novel) classes using only the supervision from labelled (base) classes. This problem has recently been pioneered for 2D image data, but no work exists for 3D point cloud data. In fact... Adversarial Counterfactual Visual Explanations Counterfactual explanations and adversarial attacks have a related goal: flipping output labels with minimal perturbations regardless of their characteristics. Yet, adversarial attacks cannot be used directly in a counterfactual explanation perspective, as such perturbations are perceived as noise... Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation Recent works in robotic manipulation through reinforcement learning (RL) or imitation learning (IL) have shown potential for tackling a range of tasks e.g., opening a drawer or a cupboard. However, these techniques generalize poorly to unseen objects. We conjecture that this is due to the high... More featured content News Articles Resilient bug-sized robots keep flying even after wing damage Mining the right transition metals in a vast chemical space 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 New insights into training dynamics of deep classifiers Our neurodata can reveal our most private selves. As brain implants become common, how will it be protected? Integrating humans with AI in structural design We pitted ChatGPT against tools for detecting AI-written text, and the results are troubling Efficient technique improves machine-learning models’ reliability The fight against antibiotic resistance is growing more urgent, but artificial intelligence can help Putting clear bounds on uncertainty Solving a machine-learning mystery More news