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One of the most intriguing challenges in computer vision is understanding dynamic scenes through the snapshots of a single moving camera. Imagine trying to digitally reconstruct...
Large machine learning models based on the transformer architecture have recently demonstrated extraordinary results on a range of vision and language tasks. But such large models...
Neural style transfer is the use of neural networks to transfer the style of one input image — say, a famous painting — to another input...
The Association for the Advancement of Artificial Intelligence’s annual Conference on Artificial Intelligence (AAAI) received around 9,000 paper submissions this year, which required a proportionally large...
Question-answering (QA) models sometimes need to retrieve information from tables, which use an entirely different set of semantic cues than free-form text. Historically, most work on...
In recent years, algorithmic bias has become an important research topic in machine learning. Sometimes, because of imbalances in training data or other factors, machine learning...
This morning, at the annual meeting of the Association for the Advancement of Artificial Intelligence (AAAI), Michael Wooldridge, a professor of computer science at the University...