Your Daily AI Research tl;dr - 2022-10-04 ??

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.

1?? Visual Prompt Tuning for Generative Transfer Learning

A recipe for learning vision transformers (on image synthesis) by generative knowledge transfer using prompt tuning to adapt to new domains.

Link to the paper: https://arxiv.org/pdf/2210.00990.pdf

2?? FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation?

A new dataset and evaluation benchmark for Few-shot Regionaware Machine Translation, a type of style-targeted translation.

"The dataset consists of professional translations from English into two regional variants each of Portuguese and Mandarin Chinese."

Link to the paper: https://arxiv.org/pdf/2210.00193.pdf

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?? Activeloop releases?Deep Lake, the data lake for deep learning

Deep Lake stores complex data, such as images, videos, annotations, embeddings, and tabular data, in the form of tensors and rapidly streams the data over the network to Tensor Query Language, in-browser visualization engine, and deep learning frameworks without sacrificing GPU utilization. Deep Lake outperforms all open-source data loaders (Webdataset, PytTrch, Torchdata, & others) on the landscape in a variety of scenarios.?Read the announcement post,?download the whitepaper, or?watch the demo.

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Louis