Most of the existing Zero-Shot Learning (ZSL) methods focus on learning a compatibility function between image representation and class attributes. Few others concentrate combining local global features. However, approaches still fail to address bias issue towards seen classes. In this paper, we propose implicit explicit attention mechanisms problem in ZSL models. We formulate mechanism with se...

A useful way to explain the notions of implicit and explicit learning in ACT-R is to define implicit learning as learning by ACT-R's learning mechanisms, and explicit learning as the results of learning goals. This idea complies with the usual notion of implicit learning as unconscious and always active and explicit learning as intentional and conscious. Two models will be discussed to illustra...

A meta-analysis of non-human primates performing three different tasks (Object-Match, Category-Match, and Category-Saccade associations) revealed signatures of explicit and implicit learning. Performance improved equally following correct and error trials in the Match (explicit) tasks, but it improved more after correct trials in the Saccade (implicit) task, a signature of explicit versus impli...

A large number of students with and without disabilities—including at-risk—are currently learning online through synchronous and/or asynchronous instruction. As such, it is important for educators to be equipped evidence-based practices—or at the minimum research-based practices—that can adapted or modified teach online, including area mathematics. This article discusses how adapt implement exp...

Artificial intelligence using neural networks has achieved remarkable success. However, optimization procedures of the learning algorithms require global and synchronous operations variables, making it difficult to realize neuromorphic hardware, a promising candidate low-cost energy-efficient artificial intelligence. The also fails explain recently observed criticality brain. Cortical neurons s...

A popular distinction in the learning literature is the distinction between implicit and explicit learning. Although many studies elaborate on the nature of implicit learning, little attention is left for explicit learning. The unintentional aspect of implicit learning corresponds well to the mechanistic view of learning employed in architectures of cognition. But how to account for deliberate,...

OBJECTIVE This study examined implicit sequence learning in patients with obsessive-compulsive disorder (OCD) under dual-task conditions. Frontal-striatal networks support implicit learning and are implicated in the pathophysiology of OCD. Neuroimaging data suggest that during implicit learning, OCD patients use neural systems normally active during explicit learning to compensate for striatal ...