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 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... Learn Your Tokens: Word-Pooled Tokenization for Language Modeling Language models typically tokenize text into subwords, using a deterministic, hand-engineered heuristic of combining characters into longer surface-level strings such as 'ing' or whole words. Recent literature has repeatedly shown the limitations of such a tokenization strategy, particularly for… 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... More featured content News Articles This Data Visualization is the First Step for Effective Feature Selection Algorithms can decide your marks, your work prospects and your financial security. How do you know they’re fair? 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 Smart labels and allergy sensors – how to make sure the future of food is ethical 4 Tips for Dataset Curation for NLP Projects 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 More news