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June 09, 2023In a top-3% paper at ICASSP, Amazon researchers adapt graph-based label propagation to improve speech recognition on underrepresented pronunciations.
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June 07, 2023Combining semi-supervised learning, data augmentation, and reinforcement learning using rewards based on implicit customer feedback and natural-language-understanding semantics reduces word error rate by more than 10%.
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June 06, 2023New approach speeds graph-based search by 20% to 60%, regardless of graph construction method.
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June 4 - 10, 2023
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June 17 - 21, 2023
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June 18 - 22, 2023
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June 07, 2023Team earned $500,000 for its performance in a challenge focused on advancing next-generation virtual assistants that help humans complete real-world tasks by continuously learning.
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June 05, 2023Learn about the science behind the brand-new NHL EDGE IQ stat that debuted in April 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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ICML 2023, ICLR 2021 Workshop on Synthetic Data Generation (Quality, Privacy, Bias)2023Recent breakthroughs in synthetic data generation approaches made it possible to produce highly photorealistic images which are hardly distinguishable from real ones. Furthermore, synthetic generation pipelines have the potential to generate an unlimited number of images. The combination of high photorealism and scale turn synthetic data into a promising candidate for improving various machine learning
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ACL Findings 20232023Deep Neural Networks (DNNs) are becoming integral components of real world services relied upon by millions of users. Unfortunately, architects of these systems can find it difficult to ensure reliable performance as irrelevant details like random initialization can unexpectedly change the outputs of a trained system with potentially disastrous consequences. We formulate the model stability problem by studying
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ACL Findings 20232023Open-domain question answering (ODQA) is a crucial task in natural language processing. A typical ODQA system relies on a retriever module to select relevant contexts from a large corpus for a downstream reading comprehension model. Existing ODQA datasets consist mainly of Wikipedia corpus, and are insufficient to study models’ generalizability across diverse domains, as models are trained and evaluated
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ACL Findings 20232023Retrieval accuracy is crucial to the performance of open-domain question answering (ODQA) systems. Recent work has demonstrated that dense hierarchical retrieval (DHR), which retrieves document candidates first and then relevant passages from the refined document set, can significantly outperform the single stage dense passage retriever (DPR). While effective, this approach requires document structure information
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2023Large language models (LMs) beyond a certain scale, demonstrate the emergent capability of generating free-text rationales for their predictions via chain-of-thought (CoT) prompting. While CoT can yield dramatically improved performance, such gains are only observed for sufficiently large LMs. Even more concerning, there is little guarantee that the generated rationales are consistent with LM’s predictions
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May 24, 2023How ARA recipient Supreeth Shashikumar is using machine learning to help hospitals detect sepsis — before it’s too late.
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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.