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Found 4 papers, 1 papers with code
Predictive Modeling of Flexible EHD Pumps using Kolmogorov-Arnold Networks
KAN achieved superior predictive accuracy, with Mean Squared Errors of 12. 186 and 0. 001 for pressure and flow rate predictions, respectively.
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
To tackle the limitation of entropy maximization, we propose $(\alpha, \beta)$-generalized KL divergence, $\mathcal{D}_{\text{KL}}^{\alpha, \beta}(p\|q)$, which can be used to identify significantly more NC instances.
An information-theoretic framework for learning models of instance-independent label noise
At the heart of our framework is a discriminator that predicts whether an input dataset has maximum Shannon entropy, which shall be used on multiple new datasets $\hat{\mathcal{D}}$ synthesized from $\mathcal{D}$ via the insertion of additional label noise.
Predictive Coding Networks Meet Action Recognition
In this way, the model only relies on the video frames, and does not need pre-processed optical flows as input.
