Recent Advances in Deep Learning at Microsoft: A Selected Overview
Since 2009, Microsoft has engaged with academic pioneers of deep learning and has created industry-scale successes in speech recognition as well as in speech translation, object recognition, automatic image captioning, natural language, multimodal processing, semantic modeling, web search, contextual entity search, ad selection, and big data analytics. Much of these successes are attributed to the availability of big datasets for training deep models, the powerful general-purpose GPU computing, and the innovations in deep learning architectures and algorithms. In this talk, a selected overview will be given to highlight our center’s work in some of these exciting applications, as well as the lessons we have learned along the way as to what tasks are best solved by deep learning methods.
Speaker Details
Li Deng received the Ph.D. degree from the University of Wisconsin-Madison. He was an assistant professor, tenured associate and full professor at the University of Waterloo, Ontario, Canada during 1989-1999, and then joined Microsoft Research, Redmond, USA, where he currently leads R&D of application-focused deep learning and machine intelligence as Research Manager of its Deep Learning Technology Center. He is Fellow of the IEEE, and Editor-in-Chief of IEEE Signal Processing Magazine and of IEEE/ACM Transactions on Audio, Speech, and Language Processing.
- Series:
- Microsoft Research Talks
- Date:
- Speakers:
- Li Deng
- Affiliation:
- IEEE Computer Society & Signal Processing Society
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Li Deng
Partner Research Manager
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Jeff Running
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Series: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
Speakers:- Pascal Zinn,
- Ivan Tashev
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Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
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Current and Future Application of BCIs
Speakers:- Christoph Guger
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
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Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
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Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
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'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
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Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
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Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
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