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georgecarlyle76

408 karma · joined July 13, 2018

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How to integrate formal proofs into software development

amazon.science·3 pts·georgecarlyle76·
0

Amazon paper uses metric differential privacy to guard privacy in text analyses

amazon.science·6 pts·georgecarlyle76·
0

We taught Alexa to correct her own defects

amazon.science·8 pts·georgecarlyle76·
0

Alexa AI's head scientist on Alexa's 5th b-day: how we got here, where we'll go

developer.amazon.com·5 pts·georgecarlyle76·
0

Algorithms for selecting training data improve cross-lingual transfer learning

developer.amazon.com·5 pts·georgecarlyle76·
0

The Fever Data Set: What Doesn’t Kill It Will Make It Stronger

developer.amazon.com·1 pts·georgecarlyle76·
0

Synthetic-Data-Generating Tools Helped Bootstrap Alexa’s New-Language Releases

developer.amazon.com·2 pts·georgecarlyle76·
0

Amazon releases public data set to aid research on speech separation

developer.amazon.com·4 pts·georgecarlyle76·
1

How to Construct the Optimal Neural Architecture for Your Machine Learning Task

developer.amazon.com·2 pts·georgecarlyle76·
0

Amazon Releases Data Set of Annotated Dialogues to Aid Development of Socialbots

developer.amazon.com·4 pts·georgecarlyle76·
0

Turning Dialogue Tracking into a Reading Comprehension Problem

developer.amazon.com·5 pts·georgecarlyle76·
0

Summaries of the 16 Alexa-related papers at this year's Interspeech

developer.amazon.com·4 pts·georgecarlyle76·
0

New method accelerates parallel training of neural nets

developer.amazon.com·4 pts·georgecarlyle76·
0

New Alexa Research on Task-Oriented Dialogue Systems

developer.amazon.com·6 pts·georgecarlyle76·
0

How to Make Neural Language Models Practical for Speech Recognition

developer.amazon.com·1 pts·georgecarlyle76·
0

Amazon transfers inflection, rhythm from recorded speaker to synthesized voice

developer.amazon.com·6 pts·georgecarlyle76·
0

Papers show how to make Alexa's neural models efficient enough to run on-device

developer.amazon.com·6 pts·georgecarlyle76·
0

ML architecture enables training of related Alexa skills on pooled data

developer.amazon.com·6 pts·georgecarlyle76·
0

Alexa team wins best-paper award for work on tracking referring terms in dialogs

developer.amazon.com·5 pts·georgecarlyle76·
0

For complex QA, system stitches search results into ad hoc knowledge graphs

developer.amazon.com·4 pts·georgecarlyle76·
0

Alexa researcher pairs headlines with associated texts to train neural search

developer.amazon.com·4 pts·georgecarlyle76·
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Alexa scientist: How to do fast, accurate multi-category classification

developer.amazon.com·3 pts·georgecarlyle76·
0

Alexa's take on “active learning”, or automatically selecting ML training data

developer.amazon.com·7 pts·georgecarlyle76·
0

Adapting Alexa to Regional Language Variations

developer.amazon.com·2 pts·georgecarlyle76·
0

Teaching Alexa to Follow Conversations

developer.amazon.com·1 pts·georgecarlyle76·
0

Alexa's new approach to tracking referring terms during dialogues

developer.amazon.com·8 pts·georgecarlyle76·
0

Amazon Unveils New Alexa Dialog Modeling for Natural, Cross-Skill Conversations

developer.amazon.com·103 pts·georgecarlyle76·
31

An Alexa scientist on how to detect speakers' emotions from speech signals

developer.amazon.com·5 pts·georgecarlyle76·
0

Should Alexa read “2/3” as “two-thirds” or “February 3”?: How to normalize text

developer.amazon.com·5 pts·georgecarlyle76·
0

Training a machine learning model in English improves performance in Japanese

developer.amazon.com·4 pts·georgecarlyle76·
0
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