Abstract: Hyperspectral image (HSI) super-resolution (SR) without additional auxiliary image remains a constant challenge due to its high-dimensional spectral patterns, where learning an effective ...
Summary: A new study finds that spontaneous mind wandering may actually boost learning during tasks that require minimal attention. Researchers recorded brain activity while participants completed a ...
Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the final output. This sparsity of reward makes it ...
Motor learning is often viewed as a unitary process that operates outside of conscious awareness. This perspective has led to the development of sophisticated models designed to elucidate the ...
Abstract: Implicit neural representations (INRs) have emerged as powerful tools for the continuous representation of signals, finding applications in imaging, computer graphics, and signal compression ...
Deep learning has been highly successful in recent years and has led to dramatic improvements in multiple domains. Deep‐learning algorithms often generalize quite well in practice, namely, given ...
One of our lifelong love affairs as humans is learning. Even the “pain” which, as per Aristotle’s observations, accompanies learning doesn’t deter us. In the name of growing our minds and skillsets, ...
Sensorimotor learning is supported by at least two parallel systems: a strategic process that benefits from explicit knowledge and an implicit process that adapts subconsciously. How do these systems ...
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