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ABSTRACT This paper documents that strategies which buy stocks that have performed well in the past and sell stocks that have performed poorly in the past generate significant positive returns over 3‐to 12‐month hold...

This work evaluates the social effects of economic instability using a rotating panels. It is divided in three parts: the first note qualifies the assessment of inequality in a context of changing income volatility measu...

Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two aspects. First, we propose a Parametric Recti...

Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional netwo...

We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask fo...

Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we present non-local operations as a generic family of building blocks for capturing long-rang...

The Need for a New Paradigm - PART I: FOUNDATIONS - The Competitive Advantage of Firms in Global Industries - Determinants of National Competitive Advantage - The Dynamics of National Advantage - PART II: INDUSTRIES - Fo...