Abstract: Stochastic optimization of the Area Under the Precision-Recall Curve (AUPRC) is a crucial problem for machine learning. Despite extensive studies on AUPRC optimization, generalization is ...

Reports circulating on social media and local news pages say Darrel Hasty Jr., widely known as “D. Hasty,” a well-known Detroit-area jeweler, has died. As of now, details surrounding his death have ...

When I listened to Vice President J.D. Vance’s remarks defending a homicidal ICE agent, I identified inaccuracies. Curious about the depth of Vance’s deception, I asked AI to generate the logical ...

Vision-Language Models (VLMs) demonstrate remarkable zero-shot generalization to unseen tasks, but fall short of the performance of supervised methods in generalizing to downstream tasks with limited ...

Machine learning models often perform impressively in the lab but struggle in the real world. The main culprit? Domain shift: the difference between the data a model was trained on and the data it ...

Megan Zahneis’s October 21 article, “Many Colleges Have Turned Down Trump’s Compact. Now Some Are Willing to Talk,” proposes that there is “a continued division in the [higher education] sector about ...

In Sarah Yuska’s sixth-grade science class at Monocacy Middle School in Frederick, Maryland, students are just finishing up learning about body systems—respiratory, circulatory, skeletal, and so on.

Enterprise tech leaders are done chasing the promise of all-in-one platforms. Right now, the question isn’t, "How do we do more with less?" It’s, "How do we do less but better?" As budget scrutiny ...

Deep generative models, including diffusion and flow matching, have shown outstanding performance in synthesizing realistic multi-modal content across images, audio, video, and text. However, the ...

Language models (LMs) have great capabilities as in-context learners when pretrained on vast internet text corpora, allowing them to generalize effectively from just a few task examples. However, fine ...