To overcome this limitation, we propose Multi-Task Learning with Excess Risks (ExcessMTL), an excess risk-based task balancing method that updates the task weights by their distances to convergence instead. Intuitively, ExcessMTL assigns higher weights to worse-trained tasks that are further from ...
The latter result is consistent with Arbitrage Pricing Theory: The idiosyncratic risk of a well diversified portfolio should be negligible. It should not have an effect on expected return of the well diversified portfolio. However, we also find that model uncertainty risks of the idiosyncratic ...
In the generation system that depends on the use of DFIG, two different inverters are used, the first task is to convert the alternating voltage into a continuous voltage and it is called the grid side converter (GSC) and the second task is to convert the output voltage of the GSC into ...
In the generation system that depends on the use of DFIG, two different inverters are used, the first task is to convert the alternating voltage into a continuous voltage and it is called the grid side converter (GSC) and the second task is to convert the output voltage of the GSC into ...
In the generation system that depends on the use of DFIG, two different inverters are used, the first task is to convert the alternating voltage into a continuous voltage and it is called the grid side converter (GSC) and the second task is to convert the output voltage of the GSC into ...
(GEOBIA)Advances in Mobile Laser Scanning and Mobile MappingAdvances in Object and Activity Detection in Remote Sensing ImageryAdvances in Object and Activity Detection in Remote Sensing Imagery IIAdvances in Object-Based Image Analysis—Linking with Computer Vision and Machine LearningAdvances in ...
GPU: Nvidia Volta architecture with 512 Nvidia CUDA cores and 64 tensor cores; CPU: 8-core 64-bit Nvidia Carmel processor with Armv8.2 architecture, 8 MB L2, and 4 MB L3; Deep learning accelerator: 2 NVDLA Engines; Computer vision accelerator: 2 PVA accelerators. For the ML model performa...