Sentence examples for directly trained from inspiring English sources

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To address these two challenges, we propose a novel learning based discriminative evaluation metric that is directly trained to distinguish between human and machine-generated captions.

At training time, our model is directly trained on reference summaries generated by human, eliminating the need for sentence-level extractive labels.

There is not the slightest earmark that these phases in which the author has been not directly trained are merely abstracted from some physics book and then hastily and thankfully dropped as he enters more familiar territory.

Originally, Green and Bavelier47 demonstrated that AVG can improve a range of spatial and temporal aspects of visual attention, not strictly connected to the ones directly trained by the video game use per se.

These findings demonstrated that a visual attentional training could produce a general beneficial effect also on cognitive functions that were not directly trained by AVG, such as the auditory processing, and, consequently, phonological short term memory.

The same also holds true for artificial neural network models directly trained with limited biomedical images used as training data or directly used as a black box to extract the deep features based on another distant dataset.

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Similar(42)

Directly training CFs leads to a large, statistically significant increase in adoption among CFs.

"Tesshu's style of training is watching and learning, so he doesn't directly train people so much.

On the other hand, NN-based approaches directly train the conditional probability, which converts the feature vector of a source speaker to that of a target speaker.

The system is a way to directly train someone in a skill set through hands-on experience, while they operate under the watchful eye of someone who knows where problems are likely to develop.

While deep neural networks require large amounts of training data, the available data to predict DCIS upstaging is sparse and thus directly training a neural network is unlikely to be successful.

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