Results 91 to 100 of about 2,367,946 (319)
A Stochastic Decoder for Neural Machine Translation [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018 The process of translation is ambiguous, in that there are typically many valid trans- lations for a given sentence. This gives rise to significant variation in parallel cor- pora, however, most current models of machine translation do not account for this variation, instead treating the prob- lem as a deterministic process.
Philip Schulz, Wilker Aziz, Trevor Cohn
openaire +4 more sources
Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz +3 more
wiley +1 more source
Neural Decoding of Multi-Modal Imagery Behavior Focusing on Temporal Complexity
Frontiers in Psychiatry, 2020 Mental imagery behaviors of various modalities include visual, auditory, and motor behaviors. Their alterations are pathologically involved in various psychiatric disorders.
Naoki Furutani +9 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Quality-Aware Decoding for Neural Machine Translation [PDF]
, 2022 This research paper proposes quality-aware decoding for neural machine translation (NMT), which leverages recent advances in MT quality evaluation to generate better translations.
Graham Neubig +7 more
core +1 more source
Encoding and decoding time in neural development [PDF]
Development, Growth & Differentiation, 2016 The development of a multicellular organism involves time‐dependent changes in molecular and cellular states; therefore ‘time’ is an indispensable mathematical parameter of ontogenesis. Regardless of their inextricable relationship, there is a limited number of events for which the output of developmental phenomena primarily uses temporal cues that are
Toma, Kenichi +2 more
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A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
npj Science of LearningEye movement patterns and consistency during face recognition are both associated with recognition performance. We examined whether they reflect different mechanisms through EEG decoding.
Guoyang Liu +4 more
doaj +1 more source
A Neural Network Lattice Decoding Algorithm [PDF]
2018 IEEE Information Theory Workshop (ITW), 2018 To appear in ITW ...
Mohammad-Reza Sadeghi 0001 +3 more
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Interpreting Neural Min-Sum Decoders
ICC 2023 - IEEE International Conference on Communications, 2023 7 pages, 8 figures, Accepted to IEEE International Conference on Communications (ICC ...
Sravan Kumar Ankireddy, Hyeji Kim
openaire +2 more sources