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 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... How Robust is Unsupervised Representation Learning to Distribution Shift? The robustness of machine learning algorithms to distributions shift is primarily discussed in the context of supervised learning (SL). As such, there is a lack of insight on the robustness of the representations learned from unsupervised methods, such as self-supervised learning (SSL) and auto... Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection Accurate bot detection is necessary for the safety and integrity of online platforms. It is also crucial for research on the influence of bots in elections, the spread of misinformation, and financial market manipulation. Platforms deploy infrastructure to flag or remove automated accounts, but... More featured content News Articles Google’s algorithms discriminate against women and people of colour How to tell whether machine-learning systems are robust enough for the real world 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 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 Putting vision models to the test Breast cancer diagnosis by AI now as good as human experts More news