Fig. 2: Sharp increase in streambed CH 4-to-CO 2 production potentials alongside a gentler rise in methanogen abundance. Hydrophysical and chemical properties of the streams were determined within ...

Abstract: Knowledge distillation (KD), a learning manner with a larger teacher network guiding a smaller student network, transfers dark knowledge from the teacher to the student via logits or ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...

This is a concise Python 3 programming tutorial for people who think that reading is boring. I try to show everything with simple code examples; there are no long and complicated explanations with ...

Official implementation of "Finer-CAM". CAM methods highlight image regions influencing predictions but often struggle in fine-grained tasks due to shared feature activation across similar classes. We ...

): the baseline logit-transformed success rate (β) and the treatment effect as a log odds ratio (δ). The fundamental principle of Bayesian analysis is to combine experimental data with existing prior ...

Specifically, in the reduced-form model with loan business based calibration [ 37 ], the expected default rate PD i j of the i -th loan business with interest rate r i j is generated according to: ...