Abstract: The widespread adoption of Transformers in deep learning, serving as the core framework for numerous large-scale language models, has sparked significant interest in understanding their ...
⚡️ 72× faster than PTv3 for end-to-end semantic segmentation ⚡️ 5.3x faster than SPT for end-to-end semantic segmentation Simply run install.sh to install all dependencies in a new conda environment ...
Traffic forecasting is crucial for a variety of applications, including route optimization, signal management, and travel time estimation. However, many existing prediction models struggle to ...
M2Spice is a standalone open-sourced software that can convert the geometry of a planar magnetic device into SPICE simulation netlists. It can accurately capture skin and proximity effects in 1-D ...
SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per ...
Recent advances in deep learning have been driven by ever-increasing model sizes, with networks growing to millions or even billions of parameters. Such enormous models call for fast and ...
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