Open AI’s GPT-3 Paper Shares NeurIPS 2020 Best Paper Awards With Politecnico di Milano, CMU and UC Berkeley

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OpenAI’s groundbreaking GPT-3 language model paper, a no-regret learning dynamics study from Politecnico di Milano & Carnegie Mellon University, and a UC Berkeley work on data summarization have been named the NeurIPS 2020 Best Paper Award winners. The organizing committee made the announcements this morning, along with their Test of Time Award, to kick off the thirty-fourth Conference on Neural Information Processing Systems.

NeurIPS 2020 continues through December 12. With 9,467 submitted papers, this has been another record-breaking year for NeurIPS — with 38 percent more paper submissions than 2019. A total of 1,903 papers were accepted, compared to 1,428 last year.

Over the course of the week, participants can virtually join the Expo, where top industry sponsors will provide talks, panels, and demos of academic interest. Tutorials will cover current lines of inquiry while general sessions will include talks, posters, and demonstrations. A full agenda can be found by visiting the NeurIPS conference schedule page.

Here is a quick read: Open AI’s GPT-3 Paper Shares NeurIPS 2020 Best Paper Awards With Politecnico di Milano, CMU and UC Berkeley

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