Abstract: A method for generating an output signal of a system based on input data received by the system includes receiving training data and training a neural network for generating the output signal by optimizing a primary cost function and an auxiliary cost function and modulating the auxiliary cost function with a gradient-based attention mask during the training.

Abstract: Disclosed is a computer-implemented method for document handling, the method includes: receiving a document including data; applying a first model of a model system to generate at least one interpretation of the document, the interpretation including at least one label; applying a second model of a model system to determine a confidence of each of the generated at least one interpretation being correct; and selecting an interpretation based on the determined confidence. Also disclosed is a computer program product, a document handling system and a computer-implemented method for generating a model system applicable by the document handling system.

Abstract: Disclosed is a method for generating an output signal of a system based on input data received by the system, the method including: receiving training data; training a neural network for generating the output signal by optimizing a primary cost function and an auxiliary cost function and modulating the auxiliary cost function with a gradient-based attention mask during the training; wherein the method further including: receiving the input data; inputting the received input data to the trained neural network: generating the output signal of the system in accordance with a processing of the received input data with the trained neural network. Also disclosed is a system and a computer program product.