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Learn about Amazon's approach to customer-obsessed science. Amazon Science provides the latest news, research and innovation in artificial intelligence (AI) and machine learning (ML), including jobs, publications, conferences and events.

“Calibeating”: Beating forecasters at their own game - Amazon Science
Dean Foster - Amazon Science
Qiaozi Gao - Amazon Science
Language-informed transfer learning for embodied household activities - Amazon Science
Govind Thattai - Amazon Science
Gaurav S. Sukhatme - Amazon Science More
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“Calibeating”: Beating forecasters at their own game - Amazon Science

In order to identify expertise, forecasters should not be tested by their calibration score, which can always be made arbitrarily small, but rather by their Brier score. The Brier score is the sum of the calibration score and the refinement score; the latter measures how good the sorting into bins…

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Dean Foster - Amazon Science

Senior Principal Scientist

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Qiaozi Gao - Amazon Science

Applied Scientist

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Language-informed transfer learning for embodied household activities - Amazon Science

For service robots to become general-purpose in everyday household environments, they need not only a large library of primitive skills, but also the ability to quickly learn novel tasks specified by users. Fine-tuning neural networks on a variety of downstream tasks has been successful in many…

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Govind Thattai - Amazon Science

Principal, Applied Scientist

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Gaurav S. Sukhatme - Amazon Science

Gaurav S. Sukhatme is the Fletcher Jones Foundation Endowed Chair in Computer Science and a professor of computer science and electrical and computer engineering at the University of Southern California.

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Charith Peris - Amazon Science

Research Scientist

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Thomas Gueudre - Amazon Science

Applied Scientist

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Domain data trumps teacher knowledge for distilling NLU models - Amazon Science

On natural-language-understanding tasks, student models trained only on task-specific data outperform those trained on a mix that includes generic data.

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Improve explainability of ML models to meet regulatory requirements - Amazon Science

How an AWS customer uses Lookout for Vision to build custom computer vision models to automate quality inspection and detect defects.

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AmazonNext program hosts final project presentations at Virginia HQ2 - Amazon Science

Program focuses on diversifying tech-industry talent.

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Popular deep-learning book from Amazon authors gets update - Amazon Science

Google JAX Python library implementation and new topics added; volume 1 of book to be published by Cambridge University Press.

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Vishnu Prabhakaran - Amazon Science

Applied Scientist I

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Image quality assessment using semi-supervised representation learning - Amazon Science

In this paper, we propose a framework for learning feature representations for Image Quality Assessment (IQA) using contrastive learning. To account for the absence of large-scale IQA dataset, we pretrain an image encoder to cluster images based on the image quality using synthetically distorted…

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Gokul Swamy - Amazon Science

Applied Scientist III

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An automated and scalable ML solution for mapping invasive species: The case of the Australian tree fern in Hawaiian forests - Amazon Science

Biodiversity loss and ecosystem degradation are global challenges demanding creative and scalable solutions. Recent increases in data collection coupled with machine learning have the potential to expand landscape monitoring capabilities. We present a computer vision solution to the problem of…

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Kara Yang - Amazon Science

Data Scientist II

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Han Man - Amazon Science

Manager III, Data Science

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High precision sound event detection based on transfer learning using transposed convolutions and feature pyramid network - Amazon Science

We introduce two models for high precision sound event detection leveraging transfer learning. The sound events we detect include “speech”, “music”, and “chime”. Both models consist of a CNN backbone pre-trained using AudioSet for audio classification. To get high precision detection results, the…

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Shunyan Luo - Amazon Science

Research Scientist I

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Yarong Feng - Amazon Science

Applied Scientist II

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Yuan Ling - Amazon Science

Applied Scientist II

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Zongyi (Joe) Liu - Amazon Science

Principal, Applied Scientist

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Shujing Dong - Amazon Science

Research Scientist II

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Shifting left for early detection of machine-learning bugs - Amazon Science

Computational notebooks are widely used for machine learning (ML). However, notebooks raise new correctness concerns beyond those found in traditional programming environments. ML library APIs are easy to misuse, and the notebook execution model raises entirely new problems concerning…

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