Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to one billion parameters. This ...

REPA and its variants effectively mitigate training challenges in diffusion models by incorporating external visual representations from pretrained models, through alignment between the noisy hidden ...

Abstract: Transformer models have achieved state-of-the-art performance across a wide range of machine learning tasks. There is growing interest in training transformers on resource-constrained edge ...

State-of-the-art pretrained models for inference and training Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training. Use ...

Introduction: Critical events in healthcare require a rapid and coordinated approach: simulation has been demonstrated a valid technique for training in emergency. Virtual Reality (VR) is an ...

Antonia Haynes is a Game Rant writer who resides in a small seaside town in England where she has lived her whole life. Beginning her video game writing career in 2014, and having an avid love of ...

What is security awareness training? Security awareness training is a cybersecurity program that aims to educate everyone in an organization about potential cyber threats, as well as actions they can ...

Uni2TS is a PyTorch based library for research and applications related to Time Series Transformers. This library aims to provide a unified solution to large-scale pre-training of Universal Time ...

Text-to-image diffusion models have made significant strides in generating complex and faithful images from input conditions. Among these, Diffusion Transformers Models (DiTs) have emerged as ...