Lemao Liu, Taro Watanabe, Eiichiro Sumita, and Tiejun Zhao. 2013. Additive Neural Networks for Statistical Machine Translation. In Proceedings of the 51st ...
The proposed variant of a neural network is employed as the input to the neural network, which encodes each word as a feature vector and outperforms the ...
In this paper, we propose a variant of a neural network, i.e. additive neural networks, for SMT to go beyond the log-linear translation model. In addition, word ...
In this paper, we propose a variant of a neural network, i.e. additive neural networks, for SMT to go beyond the log-linear translation model. In addition, word ...
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Apr 30, 2020 · Abstract: Deep neural networks (DNNs) are powerful black-box predictors that have achieved impressive performance on a wide variety of tasks.
Missing: Translation. | Show results with:Translation.
A statistical hypothesis test is a method of statistical inference used for testing a statistical hypothesis. A test result is called statistically... Normal ...
We propose Interpretable Generalized Additive Neural Networks (IGANN), a novel machine learning model that uses gradient boosting and tailored neural networks.
Denoising neural machine translation training with trusted data and online data selection ... Additive neural networks for statistical machine translation. L Liu, ...
Apr 5, 2024 · We introduce Hierarchical Neural Additive Models (HNAM) for time series forecasting. These models provide interpretability by clearly attributing how ...
Neural Additive Models (NAMs) make restrictions on the structure of neural networks, which yields a family of models that are inherently interpretable.