A Theory of Unsupervised Translation Motivated by Understanding Animal Communication

1 code implementation • NeurIPS 2023 • Shafi Goldwasser, David F. Gruber, Adam Tauman Kalai, Orr Paradise

Neural networks are capable of translating between languages -- in some cases even between two languages where there is little or no access to parallel translations, in what is known as Unsupervised Machine Translation (UMT).

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales

no code implementations • 17 Apr 2021 • Jacob Andreas, Gašper Beguš, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille Tønnesen, Antonio Torralba, Daniel Vogt, Robert J. Wood

We posit that machine learning will be the cornerstone of future collection, processing, and analysis of multimodal streams of data in animal communication studies, including bioacoustic, behavioral, biological, and environmental data.

BIG-bench Machine Learning Sentence +1