We introduce GDPval, a benchmark evaluating AI model capabilities on real- world economically valuable tasks. GDPval covers the majority of ...
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In this paper, we developed a grouping algorithm based on the view that perceptual grouping should be a process that aims to extract global impressions of a ...
Abstract. Recent methods for learning vector space representations of words have succeeded in capturing fine-grained semantic and.
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This paper is the first step in a public discussion between the Federal Reserve and stakeholders about central bank digital currencies (CBDCs).
In this paper we explore an alternative approach in which the policy is explicitly represented by its own function approximator, indepen- dent of the value ...
Abstract. Inspired by progress in unsupervised representa- tion learning for natural language, we examine whether similar models can learn useful repre-.
In this paper, we describe a CNN that goes beyond pattern recognition. It learns the entire pro- cessing pipeline needed to steer an automobile.
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The first papers were made from recycled fishing nets, bamboo, mulberry bark, or hemp. Papermakers followed several steps to make paper. First, the papermaker ...
This paper describes image features that have many properties that make them suitable for matching differing images of an object or scene. The ...
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