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Found 3 papers, 2 papers with code
MuPT: A Generative Symbolic Music Pretrained Transformer
In this paper, we explore the application of Large Language Models (LLMs) to the pre-training of music.
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers
Leveraging the knowledge from monolithic models, using techniques such as knowledge distillation, is likely to facilitate the training of modular models and enable them to integrate knowledge from multiple models pretrained on diverse sources.
Optical Flow Based Motion Detection for Autonomous Driving
Motion detection is a fundamental but challenging task for autonomous driving.
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