The CARD framework reached a Macro-AUROC of 75.9% in semi-supervised chest X-ray disease classification, rising to 77.0% when ...

When learning to cook, it is often faster to have a skilled person show you how it is done once right next to you than to ...

Students react to the University of Michigan’s new pass/fail policy for first-semester freshmen and debate whether grades motivate learning or fuel a mental health crisis. By The Learning Network ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

Perplexity’s JOLT trains one model as teacher and student, matching GRPO’s MATH accuracy with 6.5x fewer training tokens.

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...

A new machine-learning framework called MB-SupConCon extends supervised contrastive learning to continuous responses, ...

How can teachers ensure that students are doing meaningful cognitive work? These tweaks to common routines like turn-and-talk ...

"Supervised learning has correct answers, while unsupervised learning does not." I've memorized that much, but when ...

Machine-learning models now inform scientific discovery, industrial decision-making, and public policy, yet their inner workings often remain opaque. Understanding which features drive a model’s ...

Today’s Word of the Day is “Pedagogy,” a noun used to describe the methods, principles and practice of teaching. The word is commonly used in education to discuss how teachers approach learning, ...

A semi-supervised machine learning approach can cut the expert-labeling burden for beluga whale aerial surveys by five to ten times — and still outperform supervised baselines — according to a new ...