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August 16, 2023Learning to represent truncated sentences with semantic graphs improves models’ ability to infer missing content.
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August 09, 2023Combining low-rank approximation, a residual binary autoencoder, and a new loss function enables a fivefold increase in compression ratio.
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August 04, 2023Conference general chair and Amazon Scholar Yizhou Sun on modeling long-range dependencies, improving efficiency, and new causal models.
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August 20 - 24, 2023
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September 18 - 22, 2023
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August 16, 2023Startup Pixieray is working on a breakthrough in vision correction.
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August 08, 2023Researchers honored for their contributions to the scientific community.
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August 02, 2023Amazon Scholar Heng Ji, who leads the Blender Lab at UIUC, has made it her mission to separate truly valuable information from noise.
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July 25, 2023The third annual round of awards celebrates novel research that explores a range of challenges in artificial intelligence.
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CIKM 20232023Query reformulation (QR) is a widely used technique in web and product search. In QR, we map a poorly formed or low coverage user query to a few semantically similar queries that are rich in product coverage, thereby enabling effective targeted searches with less cognitive load on the user. Recent QR approaches based on generative language models are superior to informational retrieval-based methods but
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2023As E-commerce and subscription services scale, personalized recommender systems are often needed to further drive long term business growth in acquisition, engagement, and retention of customers. However, long-term metrics associated with these goals can require several months to mature. Additionally, deep personalization also demands a large volume of training data that take a long time to collect. These
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2023Modern recommender systems usually include separate recommendation carousels such as ‘trending now’ to list trending items and further boost their popularity, thereby attracting active users. Though widely useful, such ‘trending now’ carousels typically generate item lists based on simple heuristics, e.g., the number of interactions within a time interval, and therefore still leave much room for improvement
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2023We propose a Bidirectional Alignment for domain adaptive Detection with Transformers (BiADT) to improve cross domain object detection performance. Existing adversarial learning based methods use gradient reverse layer (GRL) to reduce the domain gap between the source and target domains in feature representations. Since different image parts and objects may exhibit various degrees of domainspecific characteristics
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AutoML Conference 20232023We introduce AutoGluon–TimeSeries—an open-source AutoML library for probabilistic time series forecasting.1 Focused on ease of use and robustness, AutoGluon–TimeSeries enables users to generate accurate point and quantile forecasts with just 3 lines of Python code. Built on the design philosophy of AutoGluon, AutoGluon–TimeSeries leverages ensembles of diverse forecasting models to deliver high accuracy
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July 14, 2023University teams are competing to advance conversational AI and win the $1 million research grant
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July 05, 2023Amazon Research Award recipient Shrikanth Narayanan is on a mission to make inclusive human-AI conversational experiences.
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June 30, 2023University teams are competing to build multimodal conversational agents that assist customers in completing tasks requiring multiple steps.
Working at Amazon
View allMeet the people driving the innovation essential to being the world’s most customer-centric company.
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August 15, 2023Guo's second internship is linked to a fellowship awarded through the Amazon–Virginia Tech Initiative for Efficient and Robust Machine Learning.
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June 21, 2023The senior applied science manager envisions machine learning as the path to a better experience for Amazon customers.
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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.