2 citations · 2 across the 4 of their papers we have counts for
5 papers
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…
Measuring and Mitigating Local Instability in Deep Neural Networks
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu +4
Deep Neural Networks (DNNs) are becoming integral components of real world services relied upon by millions of users. Unfortunately, architects of these systems can find it difficu…
Towards Realistic Single-Task Continuous Learning Research for NER
Justin Payan, Yuval Merhav, He Xie +4
There is an increasing interest in continuous learning (CL), as data privacy is becoming a priority for real-world machine learning applications. Meanwhile, there is still a lack o…
Industry Scale Semi-Supervised Learning for Natural Language Understanding
Luoxin Chen, Francisco Garcia, Varun Kumar +2
This paper presents a production Semi-Supervised Learning (SSL) pipeline based on the student-teacher framework, which leverages millions of unlabeled examples to improve Natural L…
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity
Eunah Cho, He Xie, John P. Lalor +2
Expanding new functionalities efficiently is an ongoing challenge for single-turn task-oriented dialogue systems. In this work, we explore functionality-specific semi-supervised le…