Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …

The construct of values is central to many fields in the social sciences and humanities. The
last two decades have seen a growing body of psychological research that investigates the …

We show for the first time that a multilayer perceptron (MLP) can serve as the only scene
representation in a real-time SLAM system for a handheld RGB-D camera. Our network is …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

Interacting with a complex world involves continual learning, in which tasks and data
distributions change over time. A continual learning system should demonstrate both …

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Learning continuously during all model lifetime is fundamental to deploy machine learning
solutions robust to drifts in the data distribution. Advances in Continual Learning (CL) with …

Currently, production and comprehension are regarded as quite distinct in accounts of
language processing. In rejecting this dichotomy, we instead assert that producing and …

Continual learning is essential for all real-world applications, as frozen pre-trained models
cannot effectively deal with non-stationary data distributions. The purpose of this study is to …

What is the relationship between brain and behavior? The answer to this question
necessitates characterizing the map** between structure and function. The aim of this …