A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...

Abstract: Domain adaptation and generalization are crucial for real-world applications, such as autonomous driving and medical imaging where the model must operate reliably across environments with ...

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 ...

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 ...

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently ...

Ashish Pawar is an experienced software engineer skilled in creating scalable software and AI-enhanced solutions across data-driven and cloud applications, with a proven track record at companies like ...

Abstract: Video object segmentation is a challenging task in computer vision. In this task, a learning model should be able to segment and track a specific set of objects through a frame sequence.

Categorization involves grouping information to make inferences and support novel decisions. In the laboratory, category learning tasks commonly involve trial-and ...

Endocrine disruptors are substances that interfere with the endocrine system. They are present in products such as food and beverage packaging, cosmetics, and flame-retardant chemicals. The endocrine ...