Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent ...
Abstract: Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data ...
Abstract: In server consolidation environments, co-locating I/O-intensive and other workloads on a single physical machine often leads to significant performance degradation for memory-intensive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results