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 Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval In Composed Image Retrieval (CIR), a user combines a query image with text to describe their intended target. Existing methods rely on supervised learning of CIR models using labeled triplets consisting of the query image, text specification, and the target image. Labeling such triplets is expensive... Progress measures for grokking via mechanistic interpretability Neural networks often exhibit emergent behavior, where qualitatively new capabilities arise from scaling up the amount of parameters, training data, or training steps. One approach to understanding emergence is to find continuous \textit{progress measures} that underlie the seemingly discontinuous... Relative representations enable zero-shot latent space communication Neural networks embed the geometric structure of a data manifold lying in a high-dimensional space into latent representations. Ideally, the distribution of the data points in the latent space should depend only on the task, the data, the loss, and other architecture-specific constraints. However... More featured content News Articles How to tell whether machine-learning systems are robust enough for the real world Wireless movement-tracking system could collect health and behavioral data 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 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 New approach could accelerate efforts to catalogue vast numbers of cells More news