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Found 5 papers, 1 papers with code
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis
Suppression of thoracic bone shadows on chest X-rays (CXRs) has been indicated to improve the diagnosis of pulmonary disease.
To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction
The Plug-and-Play (PnP) framework was recently introduced for low-dose CT reconstruction to leverage the interpretability and the flexibility of model-based methods to incorporate various plugins, such as trained deep learning (DL) neural networks.
Tesseract: Parallelize the Tensor Parallelism Efficiently
It increases efficiency by reducing communication overhead and lowers the memory required for each GPU.
Maximizing Parallelism in Distributed Training for Huge Neural Networks
Our work is the first to introduce a 3-dimensional model parallelism for expediting huge language models.
An Efficient 2D Method for Training Super-Large Deep Learning Models
However, due to memory constraints, model parallelism must be utilized to host large models that would otherwise not fit into the memory of a single device.
