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 Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection Long-tailed object detection (LTOD) aims to handle the extreme data imbalance in real-world datasets, where many tail classes have scarce instances. One popular strategy is to explore extra data with image-level labels, yet it produces limited results due to (1) semantic ambiguity -- an image-level... Evaluating the Fairness of Discriminative Foundation Models in Computer Vision We propose a novel taxonomy for bias evaluation of discriminative foundation models, such as Contrastive Language-Pretraining (CLIP), that are used for labeling tasks. We then systematically evaluate existing methods for mitigating bias in these models with respect to our taxonomy. Specifically, we... To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing NLP is in a period of disruptive change that is impacting our methodologies, funding sources, and public perception. In this work, we seek to understand how to shape our future by better understanding our past. We study factors that shape NLP as a field, including culture, incentives, and... More featured content News Articles Smart labels and allergy sensors – how to make sure the future of food is ethical 4 Tips for Dataset Curation for NLP Projects 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 Unis are using artificial intelligence to keep students sitting exams honest. But this creates its own problems How to Deal with Categorical Data for Machine Learning Avoiding shortcut solutions in artificial intelligence Data Validation in Machine Learning is Imperative, Not Optional Machine Translation in a Nutshell AI Regulation is a Chance to Fix Deeper Problems – Part I Machine Learning Pipeline Optimization with TPOT Deep learning helps predict traffic crashes before they happen More news