71 citations · 74 across the 3 of their papers we have counts for
3 papers
Measuring Progress in Fine-grained Vision-and-Language Understanding
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal +2
While pretraining on large-scale image-text data from the Web has facilitated rapid progress on many vision-and-language (V&L) tasks, recent work has demonstrated that pretrained m…
Ethical and social risks of harm from Language Models
Laura Weidinger, John Mellor, Maribeth Rauh +20
This paper aims to help structure the risk landscape associated with large-scale Language Models (LMs). In order to foster advances in responsible innovation, an in-depth understan…
Learning Compact Convolutional Neural Networks with Nested Dropout
Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell
Recently, nested dropout was proposed as a method for ordering representation units in autoencoders by their information content, without diminishing reconstruction cost. However,…