How to train computers faster for 'extreme' datasets - Futurity

You are free to share this article under the Attribution 4.0 International license. A new approach could make it easier to train computer for "extreme classification problems" like speech translation and answering general questions, researchers say. The divide-and-conquer approach to machine learning can slash the time and computational resources required. Online shoppers typically string together a few words to search for the product they want, but in a world with millions of products and shoppers, the task of matching those unspecific words to the right product is one of the biggest challenges in information retrieval. The researchers will present their work at the 2019 Conference on Neural Information Processing Systems in Vancouver.