Creating Confidence Intervals for Machine Learning Classifiers
Developing good predictive models hinges upon accurate performance evaluation and comparisons. However, when evaluating machine learning models, we…
Developing good predictive models hinges upon accurate performance evaluation and comparisons. However, when evaluating machine learning models, we…
The International Conference on Learning Representations (ICLR) 2022 is being hosted virtually from April 25th – April 29th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below…
One of the fastest-growing technologies in artificial intelligence is computer vision. The market size for computer vision alone was estimated at $7.04bn in 2020 — and it’s forecast to reach $18.13bn by 2028, a 14.07% increase. What’s more, there’s little doubt that technologies like computer vision are playing a crucial role in changing the face […]
Artykuł How to Use Computer Vision in Sports? pochodzi z serwisu DLabs.AI.
Here comes the Part 3 on learning with not enough data (Previous: Part 1 and Part 2). Let’s consider two approaches for generating synthetic data for training.
Augmented data. Given a set of existing training samples, we can apply a variety of augment…
Doesn’t time fly?! Just like that — it’s Spring! But don’t go thinking this good weather has made us lazy. We’ve been racing around the internet to find the most interesting news from the world of artificial intelligence. So let’s see what happened in March. This Algorithm Can Tell If A Pig Is Happy Or […]
Artykuł The Algorithm Can Tell If A Pig Is Happy Or Sad pochodzi z serwisu DLabs.AI.
Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or cos…