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May 19, 2023Training on pseudo-labeled data limits the consequences of slight input variations and prevents updated models from backsliding on particular tasks.
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May 16, 2023Amazon researchers draw inspiration from finite-volume methods and adapt neural operators to enforce conservation laws and boundary conditions in deep-learning models of physical systems.
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May 10, 2023The new development process behind Amazon Web Services’ Cedar authorization-policy language.
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June 4 - 8, 2023
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June 4 - 10, 2023
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May 17, 2023The Amazon senior principal scientist coauthored a 2010 paper that introduced a new way to develop algorithms that make personalized recommendations for website users.
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May 15, 2023ARA recipient Marinka Zitnik is focused on how machine learning can enable accurate diagnoses and the development of new treatments and therapies.
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May 09, 2023Fifth challenge adds new elements and features four new competitors for the $1 million research grant.
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May 08, 2023Expansion includes the creation of interdisciplinary robotics courses and RoboLab, where students will engage in prototype development and feasibility testing.
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2023Large Language Models (LLMs) are known to memorize significant portions of their train-ing data. Parts of this memorized content have been shown to be extractable by simply query-ing the model, which poses a privacy risk. We present a novel approach which uses prompt-tuning to control the extraction rates of memorized content in LLMs. We present two prompt training strategies to increase and decrease ex-traction
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This paper investigates cross-lingual temporal knowledge graph reasoning problem, which aims to facilitate reasoning on Temporal Knowledge Graphs (TKGs) in low-resource languages by transfering knowledge from TKGs in high-resource ones. The cross-lingual distillation ability across TKGs becomes increasingly crucial, in light of the unsatisfying performance of existing reasoning methods on those severely
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2023Recently, self-learning methods based on user satisfaction metrics and contextual bandits have shown promising results to enable consistent improvements in conversational AI systems. However, directly targeting such metrics by off-policy bandit learning objectives often increases the risk of making abrupt policy changes that break the current user experience. In this study, we introduce a scalable framework
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2023There has been a surge of interest in utilizing Knowledge Graphs (KGs) for various natural language processing/understanding tasks. The conventional mechanism to retrieve facts in KGs usually involves three steps: entity span detection, entity disambiguation, and relation classification. However, this approach requires additional labels for training each of the three subcomponents in addition to pairs of
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2023E-commerce websites (e.g. Amazon) have a plethora of structured and unstructured information (text and images) present on the product pages. Sellers often either don’t label or mislabel values of the attributes (e.g. color, size etc.) for their products. Automatically identifying these attribute values from an eCommerce product page that contains both text and images is a challenging task, especially when
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April 17, 2023Awardees, who represent 54 universities in 14 countries, have access to Amazon public datasets, along with AWS AI/ML services and tools.
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March 31, 2023Attendees explored new avenues of research in areas including robotics and conversational AI via roundtables moderated by researchers from Amazon.
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March 08, 2023This year’s cohort is researching, among other topics, online changepoint detection algorithms and automated reasoning.
Working at Amazon
View allMeet the people driving the innovation essential to being the world’s most customer-centric company.
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April 05, 2023As a senior principal applied scientist at Amazon Web Services, Leino is continuing his career as a leading expert in program verification.
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March 14, 2023Ren Zhang and her team tackle the interesting science challenges behind surfacing the most relevant offerings.
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February 28, 2023How the former astrobiology professor is charting new territory as a scientist for Amazon Flex.