Abstract: This paper studies empirically the effect of sampling and threshold-moving in training cost-sensitive neural networks. Both oversampling and undersampling are considered. These techniques ...
Supports most practical Explicit Runge-Kutta (ERK) methods. Tested on SD1.5, SDXL, and SD3. Decrease it to set more strict tolerances (better results) in exchange for slower inference times. Increase ...
Hugo Marques explains how to navigate Java concurrency at scale, moving beyond simple frameworks to solve high-throughput IO ...
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