Due to the adoption of multicamera inputs and deep convolutional backbone networks, the GPU memory footprint for training autonomous driving perception models is large. Existing methods for reducing memory usage often result in additional computational overheads or imbalanced workloads. This post describes joint research between NVIDIA and NIO, a developer of smart electric vehicles.
]]>Recommender systems are the economic engine of the Internet. It is hard to imagine any other type of applications with more direct impact in our daily digital lives: Trillions of items to be recommended to billions of people. Recommender systems filter products and services among an overwhelming number of options, easing the paradox of choice that most users face. As the amount of data…
]]>Click-through rate (CTR) estimation is one of the most critical components of modern recommender systems. As the volume of data and its complexity grow rapidly, the use of deep learning (DL) models to improve the quality of estimations has become widespread. They generally have greater expressive power than traditional machine learning (ML) approaches. Frequently evolving data also implies that…
]]>