A
Adam Roberts
Researcher at Google
Publications - 68
Citations - 27709
Adam Roberts is an academic researcher from Google. The author has contributed to research in topics: Autoencoder & Language model. The author has an hindex of 32, co-authored 68 publications receiving 17971 citations. Previous affiliations of Adam Roberts include University of Chester & University of California, Berkeley.
Papers
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Journal ArticleDOI
Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
Cole Trapnell,Adam Roberts,Loyal A. Goff,Loyal A. Goff,Loyal A. Goff,Geo Pertea,Daehwan Kim,Daehwan Kim,David R. Kelley,David R. Kelley,Harold Pimentel,Steven L. Salzberg,John L. Rinn,John L. Rinn,Lior Pachter +14 more
TL;DR: This protocol begins with raw sequencing reads and produces a transcriptome assembly, lists of differentially expressed and regulated genes and transcripts, and publication-quality visualizations of analysis results, which takes less than 1 d of computer time for typical experiments and ∼1 h of hands-on time.
Posted Content
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel,Noam Shazeer,Adam Roberts,Katherine Lee,Sharan Narang,Michael Matena,Yanqi Zhou,Wei Li,Peter J. Liu +8 more
TL;DR: This systematic study compares pre-training objectives, architectures, unlabeled datasets, transfer approaches, and other factors on dozens of language understanding tasks and achieves state-of-the-art results on many benchmarks covering summarization, question answering, text classification, and more.
Journal Article
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel,Noam Shazeer,Adam Roberts,Katherine Lee,Sharan Narang,Michael Matena,Yanqi Zhou,Wei Li,Peter J. Liu +8 more
TL;DR: This article introduced a unified framework that converts all text-based language problems into a text-to-text format and compared pre-training objectives, architectures, unlabeled data sets, transfer approaches, and other factors on dozens of language understanding tasks.
Proceedings ArticleDOI
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
Linting Xue,Noah Constant,Adam Roberts,Mihir Kale,Rami Al-Rfou,Aditya Siddhant,Aditya Barua,Colin Raffel +7 more
TL;DR: This paper proposed a multilingual variant of T5, mT5, which was pre-trained on a new Common Crawl-based dataset covering 101 languages and achieved state-of-the-art performance on many multilingual benchmarks.
Journal ArticleDOI
Identification of novel transcripts in annotated genomes using RNA-Seq
TL;DR: An algorithm for reference annotation-based transcript assembly is presented and it is shown how it can be used to rapidly investigate novel transcripts revealed by RNA-Seq in comparison with a reference annotation.