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Medicare Part D Formulary Coverage of Disease-Modifying Therapies for Multiple Sclerosis.
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SALMONN: Towards Generic Hearing Abilities for Large Language Models
International Conference on Learning Representations, 2023Hearing is arguably an essential ability of artificial intelligence (AI) agents in the physical world, which refers to the perception and understanding of general auditory information consisting of at least three types of sounds: speech, audio events ...
Changli Tang +8 more
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Explicit Generalization as Generalization of Semantic Generalization
2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence, 2015The semantic generalization was proposed. This generalization makes it possible for a kind of class to have attributes by considering the semantics of the attributes of the subclasses even if there is no common attribute in the subclasses. The attributes generalized can be specified by users rather than automatically decided.
Teruhisa Hochin, Hiroki Nomiya
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Generalized Beta-Generated Distributions [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carol Alexander +3 more
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GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018We introduce here a large tracking database that offers an unprecedentedly wide coverage of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon the backbone of WordNet structure [1] and it populates the majority of over
Lianghua Huang, Xin Zhao, Kaiqi Huang
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A Generalization of the Least General Generalization
1994Abstract In this chapter, we present a polynomial time algorithm, called a k-minimal multiple generalization (k-mmg) algorithm, where k ≥ 1, and its application to inductive learning problems. The algorithm is a natural extension of the least general generalization algorithm developed by Plotkin and Reynolds.
Hiroki Arimura +3 more
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A generic communication scheduler for distributed DNN training acceleration
Symposium on Operating Systems Principles, 2019We present ByteScheduler, a generic communication scheduler for distributed DNN training acceleration. ByteScheduler is based on our principled analysis that partitioning and rearranging the tensor transmissions can result in optimal results in theory ...
Yanghua Peng +7 more
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Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment
IEEE Transactions on Image Processing, 2020Traditional image aesthetics assessment (IAA) approaches mainly predict the average aesthetic score of an image. However, people tend to have different tastes on image aesthetics, which is mainly determined by their subjective preferences.
Leida Li +4 more
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