A neural network trained with a weighted loss multiplied by a squared weighted optimal transport term learns per-sample importance scores in a single training run.
New Families of Solutions for the Space Time Fractional Burgers Equation
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abstract
In this paper, the hyperbolic tangent function method is applied for constructing exact solutions for space-time conformal fractional Burgers equation. Furthermore, the space-time conformal fractional Burgers equation is tested for the Painleve property and consequently new numerous exact solutions are generated via Backlund transform.
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cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
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LossVal: Efficient Data Valuation for Neural Networks
A neural network trained with a weighted loss multiplied by a squared weighted optimal transport term learns per-sample importance scores in a single training run.