Abstract: Skeleton-based human action recognition aims to classify human skeletal sequences, which are spatiotemporal representations of actions, into predefined categories. To reduce the reliance on ...
Abstract: Few-shot named entity recognition (NER) systems recognize entities using a few labeled training examples. The general pipeline consists of a span detector to identify entity spans in text ...
The launcher.py script is not intended to be modified by users. This script serves as a universal entrypoint for SageMaker training jobs and handles Ray cluster setup, coordination between nodes, and ...