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Published Date

Publication

Fault-Aware Neural Code Rankers

Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao

NeurIPS 2022 | November 2022

Project

Publication

SciAI4Industry – Solving PDEs for industry-scale problems with deep learning

Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra

November 2022

Project

Publication

The F# Language Design RFCs (F# 7.0)

Don Syme

November 2022

The F# Language is a co-operation between the F# Community including contributors from Microsoft, Microsoft Research and Github. The RFCs for F# 7.0 have been developed by Don Syme, Phillip Carter and others.

Publication

Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers

Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He

November 2022

Video

Designing AI Systems with Steerable Long-Term Dynamics

November 21, 2022 | Thorsten Joachims

The feedback that users provide through their choices (e.g. clicks, purchases) is one of the most common types of data readily available for training autonomous systems, and it is widely used in online platforms. However,…

01:38:56

Project

Trusted AI-assisted Programming

Machine learning, in particular Large Language Models, has shown great promise at automating several aspects of programming and software development such as coding, testing, integration, static analysis, verification etc. in recent years. In this project,…

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication

NatGen: Generative pre-training by “Naturalizing” source code

Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar Devanbu,, Baishakhi Ray

The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) | November 2022

Publication

An Empirical Study of Log Analysis at Microsoft

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维

2022 Foundations of Software Engineering (FSE) | November 2022

Project Project

Video

Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)

November 4, 2022 | Hanuma Kodavalla, Phil Bernstein

Over the past few years, my team at Microsoft worked on evolving our very successful on-prem database product, SQL Server, to a Database Platform as a Service, SQL Azure, running in the cloud managing millions…

01:29:41

Programming languages and software engineering

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