International Monetary Fund

Alternative Data and Monetary Policy

In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...
IEEE

Knowledge Distillation Using Deep Learning Techniques: A Survey

Abstract: In Deep Neural Networks (DNNs), optimization is necessary for adjusting model parameters to reduce the loss function, which directly affects the model’s performance. Effective optimization ...
IEEE

A Survey on Deep Reinforcement Learning Applications in Autonomous Systems: Applications, Open Challenges, and Future Directions

Abstract: Deep Reinforcement Learning (DRL) has become a fundamental element in advancing Autonomous Systems, significantly transforming fields like autonomous vehicles, robotics, and drones. This ...
The Lancet

Leveraging deep learning applied to chest radiograph images to identify individuals at high risk of chronic obstructive pulmonary disease: a retrospective model validation study

aCardiovascular Imaging Research Center (CIRC), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA bPulmonary and Critical Care Division, Massachusetts ...