Machine Learning
Research at Apple

Recent research

AuthorsAli Mousavi, Xin Zhan, Richard Bai, Peng Shi, Theo Rekatsinas, Benjamin Han, Yunyao Li, Jeff Pound, , Josh Susskind, Natalie Schluter, Ihab Ilyas, Navdeep Jaitly
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AuthorsHsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren Yang, Gautam Varma Mantena, Oncel Tuzel
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Research highlights

Enhancing Paragraph Generation with a Latent Language Diffusion Model

In the fast-evolving world of natural language processing (NLP), there is a strong demand for generating coherent and controlled text, as referenced in the work Toward Controlled Generation of Text. Traditional autoregressive models such as GPT, which have long been the industry standard, possess inherent limitations that sometimes manifest as repetitive and low-quality outputs, as seen in the work The Curious Case of Neural Text Degeneration. This is primarily due to a phenomenon known as "exposure bias," as seen in the work Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. This imperfection arises due to a mismatch between how these models are trained and their actual use during inference, often leading to error accumulation during text generation.

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Personalizing Health and Fitness with Hybrid Modeling

Recent research has explored clinical monitoring, cardiovascular events, and even clinical lab values from wearables data. As adoption increases, wearables data may become crucial in public health applications like disease monitoring and the design of epidemiological studies.

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All events

Neural Information Processing Systems (NeurIPS) 2023

Apple sponsored the Neural Information Processing Systems (NeurIPS) conference, which took place in person from December 10 to 16 in New Orleans, Louisiana. NeurIPS is a conference that fosters the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. Below was the schedule of Apple-sponsored workshops and events at NeurIPS 2023.

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Empirical Methods in Natural Language Processing (EMNLP) 2023

Apple is sponsoring the Empirical Methods in Natural Language Processing (EMNLP) conference, which will take place in person from December 6 to 10 in Singapore. EMNLP is a leading conference focused on natural language processing. Below is the schedule of Apple-sponsored workshops and events at EMNLP 2023.

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