IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency

1 code implementation • 24 Aug 2023 • Saeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido-Botran, Lin Wang, Joseph Doyle, Pooyan Jamshidi

Model variants are different versions of pre-trained models for the same deep learning task with variations in resource requirements, latency, and accuracy.

Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems

1 code implementation • EuroMLSys 2023 • Mehran Salmani, Saeid Ghafouri, Alireza Sanaee, Kamran Razavi, Max Mühlhäuser, Joseph Doyle, Pooyan Jamshidi, Mohsen Sharifi

Adapting to dynamic workloads considering all the pillars of accuracy, latency, and resource cost is challenging.

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays

no code implementations • 26 Mar 2017 • Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing

Through this adversarial process the critic network learns the higher order structures and guides the segmentation model to achieve realistic segmentation outcomes.

Organ Segmentation Segmentation