Customer-obsessed science
-
February 14, 2023A diversity of outputs ensures that style transfer model can satisfy any user’s tastes.
-
February 06, 2023Methods for controlling the outputs of large generative models and integrating symbolic reasoning with machine learning are among the conference’s hot topics.
-
February 02, 2023Research on “super-Grover” optimization, quantum algorithms for topological data analysis, and simulation of physical systems displays the range of Amazon’s interests in quantum computing.
-
-
February 27 - March 3, 2023
-
April 30 - May 4, 2023
-
May 1 - 5, 2023
-
-
February 09, 2023The collaboration includes Amazon funding for faculty research projects, with an initial focus on machine learning and natural-language processing.
-
February 03, 2023Learn how physics and computer science influence each other and about the importance of the scientific perspective when it comes to quantum technology.
-
January 30, 2023Awardees, who represent 24 universities in seven countries, have access to Amazon public datasets, along with AWS AI/ML services and tools.
-
January 12, 2023The collaboration, housed in the College of Engineering, includes funds for faculty research projects, with an initial focus on AI, robotics, and operations research.
-
EACL 20232023Information extraction (IE) and summarization are closely related, both tasked with presenting a subset of the information contained in a natural language text. However, while IE extracts structural representations, summarization aims to abstract the most salient information into a generated text summary – thus potentially encountering the technical limitations of current text generation methods (e.g.,
-
EACL 20232023Open domain conversational agents can answer a broad range of targeted queries. However, the sequential nature of interaction with these systems makes knowledge exploration a lengthy task which burdens the user with asking a chain of well phrased questions. In this paper, we present a retrieval based system and associated dataset for predicting the next questions that the user might have. Such a system
-
EACL 20232023A novel feature represents a cluster of semantically equivalent novel user requests e.g., requests to play a song on a service or reading user’s messages. Detecting and supporting novel features is crucial towards wider adoption of dialog systems by end users. Intuitively, features are represented by a combination of intents, slot types and/or their values. For example, while playing a song is a feature
-
EACL 20232023Pre-trained neural masked language models are often used for predicting a replacement token for a given sequence position, in a cloze-like task. However, this usage is restricted to predicting a single token, from a relatively small pre-trained vocabulary. Recent Sequence2Sequence pre-trained LMs like T5 do allow predicting multi-token completions, but are more expensive to train and run. We show that pre-trained
-
EACL 20232023For extreme multi-label classification (XMC), existing classification-based models poorly perform for tail labels and often ignore the semantic relations among labels, like treating “Wikipedia” and “Wiki” as independent and separate labels. In this paper, we cast XMC as a generation task (XLGen), where we benefit from pre-trained text-to-text models. However, generating labels from the extremely large label
-
December 23, 2022Program focuses on diversifying tech-industry talent.
-
December 21, 2022Fifth challenge adds new elements and features four new competitors for the $1 million research grant.
-
December 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
View allMeet the people driving the innovation essential to being the world’s most customer-centric company.
View all
-
February 08, 2023How her background helps her manage a team charged with assisting internal partners to answer questions about the economic impacts of their decisions.
-
February 07, 2023Parmida Beigi, an Amazon senior research scientist, shares a lifetime worth of experience, and uses her skills to help others grow into machine learning career paths.
-
January 31, 2023Mahdieh Allahviranloo is using her expertise in transportation engineering to assist last-mile delivery operations at Amazon.