Alexandre Passos — accepted AI-conference papers

2022

FRUIT: Faithfully Reflecting Updated Information in Text

Robert Iv, Alexandre Passos, Sameer Singh, Ming-Wei Chang

NAACL 2022long

Textual knowledge bases such as Wikipedia require considerable effort to keep up to date and consistent. While automated writing assistants could potentially ease this burden, the problem of suggesting edits grounded in external knowledge has been under-explored. In this paper, we introduce the nove…

Cited by 42 Source ↗PDF ↗code ↗Scholar ↗

2018

Large scale distributed neural network training through online distillation

Rohan Anil, Gabriel Pereyra, Alexandre Passos, Robert Ormandi, George E. Dahl, Geoffrey E. Hinton

ICLR 2018poster

Techniques such as ensembling and distillation promise model quality improvements when paired with almost any base model. However, due to increased test-time cost (for ensembles) and increased complexity of the training pipeline (for distillation), these techniques are challenging to use in industri…

Cited by 535 Source ↗PDF ↗Scholar ↗