GitHub

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

Official implementation of the paper "PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers", accepted as an Oral presentation at ECCV 2024. Computer vision methods that ...
IEEE

HVDC Converter Transformers Protection - Part 2: Differential Function Assessment

Abstract: This paper will analyze the performance of the differential protection of converter transformers that are part of Line-Commutated Converter (LCC) High-Voltage Direct Current (HVDC) systems ...
IEEE

Scalable Diffusion Models with Transformers

Abstract: We explore a new class of diffusion models based on the transformer architecture. We train latent diffusion models of images, replacing the commonly-used U-Net backbone with a transformer ...
Microsoft

BitNet: Scaling 1-bit Transformers for Large Language Models

The increasing size of large language models has posed challenges for deployment and raised concerns about environmental impact due to high energy consumption. In this work, we introduce BitNet, a ...