Dropout is a technique widely used for preventing overfitting while training deep neural networks. However, applying dropout to a neural network typically increases the training time. This paper ...

Repeating a speed workout on a regular basis reinforces consistency, which is a pillar of long-term progress. The more often ...

“Hot weather raises your core body temperature, so exercise feels more difficult in warm weather, especially outdoors, ...

Heineken Global Duty Free announced it is accelerating its draught beer training program for its cruise line partners. The ...

Ready to run farther and faster? These plans can change the performance of both beginners and experienced racers.

Recent advances on deep learning models come at the price of formidable training cost. The increasing model size is one of the root cause, but another less-emphasized fact is that data scale is ...

As the spatio-temporal data of a city is not always available, insufficient data would lead to poor performance in some urban prediction tasks. Existing works utilize transfer learning to solve the ...