Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and validating a basic model call to understand ...
Many clients who move into charitable giving do so reactively—responding to requests from friends, supporting their alma mater or contributing to causes featured in the news. As their philanthropic ...
Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images
Abstract: Object detection plays a crucial role in scene understanding and has extensive practical applications. In the field of remote sensing object detection, both detection accuracy and robustness ...
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