Customer-obsessed science
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January 06, 2023Quantization with self-adjustable centroids, contrastive predictive coding for transfer learning, teacher ensembles for differential privacy, and more — Amazon’s speech research features a battery of cutting-edge machine learning techniques. -
January 04, 2023As video scales up — in both duration and resolution — it raises new research questions.
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January 03, 2023Automated methods with a little human guidance use annotators’ time much more efficiently.
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January 9 - 12, 2023
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February 4 - 10, 2023
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February 7 - 14, 2023
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January 05, 2023How an AWS customer uses Lookout for Vision to build custom computer vision models to automate quality inspection and detect defects.
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December 30, 2022From the remarkable story of Josh Miele and his passion for improving accessibility, to the challenges overcome by scientists and engineers getting Alexa to work in space, these five stories touched both emotional and intellectual chords.
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December 29, 2022We explored everything from the science behind the new F1 car to a look back at how the operations science team addressed a challenge of almost unimaginable complexity.
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December 27, 2022From a look back at Amazon Redshift to personalized complementary product recommendation, these are the most viewed publications authored by Amazon scientists and collaborators in 2022.
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Data augmentation is a necessity to enhance data efficiency in deep learning. For vision-language pre-training, data is only augmented either for images or for text in previous works. In this paper, we present MixGen: a joint data augmentation for vision-language representation learning to further improve data efficiency. It generates new imagetext pairs with semantic relationships preserved by interpolating
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2023Semantic matching is an important component of a product search pipeline. Its goal is to capture the semantic intent of the search query as opposed to the syntactic matching performed by a lexical matching system. A semantic matching model captures relationships like synonyms, and also captures common behavioral patterns to retrieve relevant results by generalizing from purchase data. Semantic matching
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Conversational agents like chat bots and voice assistants are trained to understand and respond to user intents. On encountering an utterance with an intent different from the ones they have been trained on, these agents are expected to classify the intent as “unknown” or “out of domain”. This problem is known as out of domain (OOD) intent detection. Podolskiy et al. (2021), showed that Mahalanobis distance
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Video quality assessment (VQA) has sparked a lot of interest in the computer vision community, as it plays a critical role in services that provide customers with high quality video content. Due to the lack of high quality reference videos and the difficulties in collecting subjective evaluations, assessing video quality is a challenging and still unsolved problem. Moreover, most of the public research
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14th Edition of the Conference on the Digital Economy (CODE)2023E-commerce business depends on smooth day to day functioning of its warehouses/facilities. The functioning of these facilities depend on the health of material handling equipment. To keep these equipment healthy, these facilities employ the help of maintenance engineers who perform predictive/breakdown maintenance work. To ensure an effective maintenance operation necessitates efficient planning of maintenance
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December 23, 2022Program focuses on diversifying tech-industry talent.
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December 21, 2022Fifth challenge adds new elements and features four new competitors for the $1 million research grant.
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Courtesy of Yong Jae LeeDecember 16, 2022University of Wisconsin-Madison associate professor and ARA recipient has authored a series of pioneering papers on real-time object instance segmentation.
Working at Amazon
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Courtesy of InterspeechDecember 20, 2022Ariadna Sanchez, a scientist who works in polyglot text to speech, draws on her musical background to help find novel solutions.
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Courtesy of Jiao SunDecember 13, 2022Amazon Machine Learning Fellow Jiao Sun works on strategies to control text generation.
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November 09, 2022At Amazon, he develops machine learning models to help keeping Amazon stores safe and trustworthy for customers and selling partners.
