This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

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 ...

The delicate balance between discrimination and generalization of responses is crucial for survival in our ever-changing environment. In particular, it is important to understand how stimulus ...

Individual differences in reward salience may relate to the difficulty in regulating the effects of multiple substances (e.g., nicotine and food). Increased brain activation in reward and ...

Abstract: Domain generalization seeks to acquire a domain-invariant representation from various source domains, thereby enabling a model to achieve robust generalization across previously unseen ...

This is the first attempt to propose a Generalization Assessment Index for super-resolution and restoration networks, namely SRGA. SRGA exploits the statistical characteristics of the internal ...

Abstract: Adversarial training (AT) is widely considered as the most promising strategy to defend against adversarial attacks and has drawn increasing interest from researchers. However, the existing ...