Flexible and Scalable Deep Learning with MMLSpark. - Mark Hamilton; Sudarshan Raghunathan; Akshaya Annavajhala; Danil Kirsanov; Eduardo de Leon; Eli Barzilay; Ilya Matiach; Joe Davison; Maureen Busch; Miruna Oprescu; Ratan Sur; Roope Astala; et al. (PAPIs, 2017)

Commonsense Knowledge Mining from Pretrained Models. - Joe Davison; Joshua Feldman; Alexander M. Rush (EMNLP/IJCNLP (1), 2019)

Transformers: State-of-the-Art Natural Language Processing. - Thomas Wolf 008; Lysandre Debut; Victor Sanh; Julien Chaumond; Clement Delangue; Anthony Moi; Pierric Cistac; Tim Rault; Rémi Louf; Morgan Funtowicz; Joe Davison; Sam Shleifer; et al. (EMNLP (Demos), 2020)

Datasets: A Community Library for Natural Language Processing. - Quentin Lhoest; Albert Villanova del Moral; Yacine Jernite; Abhishek Thakur; Patrick von Platen; Suraj Patil; Julien Chaumond; Mariama Drame; Julien Plu; Lewis Tunstall; Joe Davison; Mario Sasko; et al. (EMNLP (Demos), 2021)

Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data. - Gennady Voronov; Rose Lightheart; Joe Davison; Christoph A. Krettler; David Healey; Thomas Butler (CoRR, 2022)