Research Focus: Week of December 5, 2022

This special edition of Research Focus highlights some of the 100+ papers from Microsoft Research that were accepted for publication at NeurIPS 2022 – the thirty-sixth annual Conference on Neural Information Processing Systems. In this article In this issue, we continue to feature some of our 100+ papers accepted at NeurIPS 2022. Outstanding paper: Gradient Estimation with Discrete Stein Operators Jiaxin Shi, Yuhao  

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IOM and Microsoft release first-ever differentially private synthetic dataset to counter human trafficking

Microsoft is home to a diverse team of researchers focused on supporting a healthy global society, including finding ways technology can address human rights problems affecting the most vulnerable populations around the world. With a multi-disciplinary background in human-computer interaction, data science, and the social sciences, the research team partners with community, governmental, and nongovernmental organizations to create open technologies that enable scalable responses to such challenges.  

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NeurIPS 2022: Seven Microsoft Research Papers Selected for Oral Presentations

Microsoft is proud to be a platinum sponsor of the 36th annual conference on Neural Information Processing Systems (NeurIPS), which is widely regarded as the world’s most prestigious research conference on artificial intelligence and machine learning. Microsoft has a strong presence at NeurIPS again this year, with more than 150 of our researchers participating in the conference and 122 of our research papers accepted. Our researchers are also taking part in 10 workshops, four competitions and a tutorial. In one of […]

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Complete Tutorial for torch.max() in PyTorch with Examples

Introduction In this article, we will go through the tutorial for the torch.max() function of PyTorch which is used to get the maximum element of a tensor. First of all, we shall understand how it works along with syntax and we shall see some examples for a better understanding of the beginners. What is torch.max() function in PyTorch The torch max() function is used to retrieve the elements with maximum values in a tensor along with its indices. The maximum […]

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[Diagram] How to use torch.gather() Function in PyTorch with Examples

Introduction In this article, we will see how to use torch.gather() function in PyTorch. We shall first understand for what purpose the gather() function is used in PyTorch, along with its syntax. Finally, we will cover a few examples so that the concept can be understood easily by beginners. What is torch.gather() function in PyTorch As the name suggests, torch.gather() function is used to create a new tensor by gathering elements from an input tensor along a specific dimension and […]

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Research Focus: Week of November 28, 2022

This special edition of Research Focus highlights some of the 100+ papers from Microsoft Research that were accepted for publication at NeurIPS 2022 – the thirty-sixth annual Conference on Neural Information Processing Systems. In this article Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models Dongkuan Xu, Subhabrata Mukherjee,   To finish reading, please visit source site

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Research Focus: Week of November 7, 2022

Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article Microsoft Turing Universal Language Representation model, T-ULRv6, tops both XTREME and GLUE leaderboards with a single model Barun Patra, Saksham Singhal,   To finish reading, please visit source site

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