81 citations · 344 across the 26 of their papers we have counts for
4 papers · 1 filter
Implicit Neural Video Compression
Yunfan Zhang, Ties van Rozendaal, Johann Brehmer +2
We propose a method to compress full-resolution video sequences with implicit neural representations. Each frame is represented as a neural network that maps coordinate positions t…
Understanding and Overcoming the Challenges of Efficient Transformer Quantization
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
Transformer-based architectures have become the de-facto standard models for a wide range of Natural Language Processing tasks. However, their memory footprint and high latency are…
A White Paper on Neural Network Quantization
Markus Nagel, Marios Fournarakis, Rana Ali Amjad +3
While neural networks have advanced the frontiers in many applications, they often come at a high computational cost. Reducing the power and latency of neural network inference is…
In-Hindsight Quantization Range Estimation for Quantized Training
Marios Fournarakis, Markus Nagel
Quantization techniques applied to the inference of deep neural networks have enabled fast and efficient execution on resource-constraint devices. The success of quantization durin…