Columbia University Model Learns Predictability From Unlabelled Video
Researchers propose a novel framework and hierarchical predictive model that learns to identify what is predictable from unlabelled video.
Tag: Columbia Univeristy
New Multitask Benchmark Suggests Even the Best Language Models Don’t Have a Clue What They’re Doing
Researchers introduce a test covering topics such as elementary mathematics, designed to measure language models’ multitask accuracy.
VisualData: A Search Engine for Computer Vision Datasets
Building large datasets is a time-consuming and labor-intensive task which challenges entities with limited budgets. There are hundreds of open visual datasets out there, but searching across them and their millions of entries is not a simple task.