Commercial applications of deep learning have been making headlines for years — never more so than this spring. More surprisingly, deep-learning methods ...

Lihong Li, a senior principal scientist in Amazon Ads, has won the 2023 Seoul Test of Time award for the 2010 paper “A Contextual-Bandit Approach to ...

Like many other machine learning applications, neural machine translation (NMT) benefits from overparameterized deep neural models — models so large that ...

For years, Amazon researchers have been exploring the topic of extreme multilabel classification (XMC), or classifying inputs when the space of possible ...

Sometimes, good luck wears bad luck's clothing — and that was certainly the case in 2015 for the young electrical and computer engineer Supreeth ...

Many of today’s most innovative computation-based products and solutions are fueled by data. Where those data are private, it is essential to protect them ...

As usual at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), a plurality of Amazon’s accepted papers concentrate on ...

Intelligence is notoriously hard to define, but when most people (including computer scientists) think about it, they construe it on the model of human ...

Every week of the National Hockey League (NHL) season, fans see TV rankings of the best plays of the week, and every week, fans debate those rankings. Most ...

Many of today’s machine learning (ML) applications involve nearest-neighbor search: data are represented as points in a high-dimensional space; a query ...