Articles with "non autoregressive" as a keyword



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A Non-Autoregressive Neural Machine Translation Model With Iterative Length Update of Target Sentence

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3169419

Abstract: The non-autoregressive decoders in neural machine translation are paid increasing attention due to their faster decoding than autoregressive decoders. However, their apparent problem is a low performance which is mainly originated from wrong prediction about… read more here.

Keywords: target sentence; non autoregressive; translation model; length ... See more keywords
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Non-Autoregressive Transformer for Speech Recognition

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Published in 2021 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2020.3044547

Abstract: Very deep transformers outperform conventional bi-directional long short-term memory networks for automatic speech recognition (ASR) by a significant margin. However, being autoregressive models, their computational complexity is still a prohibitive factor in their deployment into… read more here.

Keywords: autoregressive transformer; speech recognition; non autoregressive;
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PNG-Stega: Progressive Non-Autoregressive Generative Linguistic Steganography

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Published in 2023 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2023.3272798

Abstract: The autoregressive-based model with the left-to-right generation order has been a predominant paradigm for generative linguistic steganography. However, such steganography does not perform well on semantic control and content planning, which is forced by the… read more here.

Keywords: steganography; generative linguistic; progressive non; non autoregressive ... See more keywords
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A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.48550/arxiv.2204.09269

Abstract: Non-autoregressive (NAR) generation, which is first proposed in neural machine translation (NMT) to speed up inference, has attracted much attention in both machine learning and natural language processing communities. While NAR generation can significantly accelerate… read more here.

Keywords: machine; generation; non autoregressive; survey ... See more keywords