Machine Learning
Research at Apple.

Recent papers.

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HDR Environment Map Estimation for Real-Time Augmented Reality

research area Computer VisionPublished year 2020
AuthorsGowri Somanath, Daniel Kurz
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Efficient Inference For Neural Machine Translation

research area Methods and Algorithms, research area Speech and Natural Language Processingconference EMNLPPublished year 2020
AuthorsYi-Te Hsu, Sarthak Garg, Yi-Hsiu Liao, Ilya Chatsviorkin
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A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering

research area Speech and Natural Language Processing, research area Knowledge Bases and Searchconference EMNLPPublished year 2020
AuthorsSvitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha
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How Effective is Task-Agnostic Data Augmentation for Pre-trained Transformers?

research area Methods and Algorithms, research area Speech and Natural Language Processingconference EMNLPPublished year 2020
AuthorsShayne Longpre, Yu Wang, Christopher DuBois
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Updates and events.

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Leveraging ML Compute for Accelerated Training on Mac

The Mac has long been a popular platform for developers, engineers, and researchers. Now, with Macs powered by the all new M1 chip, and the ML Compute framework available in macOS Big Sur, neural networks can be trained right on the Mac with a huge leap in performance.

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Apple at EMNLP 2020

Apple is sponsoring the Empirical Methods in Natural Language Processing (EMNLP) conference, which will be held virtually from November 16 to 20. EMNLP is a leading conference focused on natural language processing.

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