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 ...

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

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

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

Constraining policies to select behavior modules allows reinforcement learning transfer from simulation to real robot swarms.

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

Training, a service for building custom models through user-defined reinforcement learning and supervised fine-tuning loops, ...

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

Direct Instruction was one of a collection of approaches to early elementary education tested in a large-scale experiment in ...

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 ...