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Found 6 papers, 0 papers with code
FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions
Scoring the driving performance of various drivers on a unified scale, based on how safe or economical they drive on their daily trips, is essential for the driver profile task.
Exploring the Robustness of Decentralized Training for Large Language Models
Decentralized training of large language models has emerged as an effective way to democratize this technology.
Learning Gradient Fields for Scalable and Generalizable Irregular Packing
In this work, we delve deeper into a novel machine learning-based approach that formulates the packing problem as conditional generative modeling.
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism
In response to this problem, we introduce the Coordinate Attention (CA) module to replace the Res Block to reduce the number of parameters, and cooperate with the spatial information extraction network above to strengthen the information extraction ability.
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system
However, the adoption of CDRT is not economically viable at the current carbon price.
Fake Generated Painting Detection via Frequency Analysis
With the development of deep neural networks, digital fake paintings can be generated by various style transfer algorithms. To detect the fake generated paintings, we analyze the fake generated and real paintings in Fourier frequency domain and observe statistical differences and artifacts.
