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Abstract: Domain adaptation is crucial to adapt a learned model to new scenarios, such as domain shifts or changing data distributions. Current approaches usually require a large amount of labeled or ...

Abstract: Normalization layers are ubiquitous in modern neural networks and have long been considered essential. This work demonstrates that Transformers without normalization can achieve the same or ...

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

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But sometimes I have to cut a sandwich or pizza in half. If the other person is equally hungry, they'll be scrupulous about ...

Abstract: The rise of social media and informal communication has led to an increase in noisy text, characterized by abbreviations, spelling variants, incorrect spelling, mixed language, loan words, ...

Abstract: PointNet has revolutionized how we think about representing point clouds. For classification and segmentation tasks, the approach and its subsequent variants/extensions are considered ...

Among the things I have not missed since entering middle age is the sensation of being an absolute beginner. It has been decades since I’ve sat in a classroom in a gathering cloud of incomprehension ...

Abstract: Within the framework of casting process design, the efficient retrieval of three-dimensional (3D) computer-aided design (CAD) models could result in significant time and cost savings.

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