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2022–11–18 | Your Daily AI Research tl;dr 🧠
The State of Multilingual AI, ImageNet-X and comparing the brain with self-supervised learning!
Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.
1️⃣ ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
ImageNet-X–a set of sixteen human annotations of factors such as pose, background, or lighting for the entire ImageNet-1k validation set as well as a random subset of 12k training images.
Link to the paper: https://arxiv.org/abs/2211.01866
2️⃣ Toward a realistic model of speech processing in the brain with self-supervised learning
“We compare a recent self-supervised architecture, Wav2Vec 2.0, to the brain activity of 412 English, French, and Mandarin individuals recorded with functional Magnetic Resonance Imaging (fMRI), while they listened to ≈ 1 h of audio books.” *really interesting paper and…
