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06/08/2023
Improving Long Context Document-Level Machine Translation
Document-level context for neural machine translation (NMT) is crucial t...
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06/08/2023
On Search Strategies for Document-Level Neural Machine Translation
Compared to sentence-level systems, document-level neural machine transl...
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06/08/2023
Improving Language Model Integration for Neural Machine Translation
The integration of language models for neural machine translation has be...
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10/24/2022
Does Joint Training Really Help Cascaded Speech Translation?
Currently, in speech translation, the straightforward approach - cascadi...
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10/21/2022
Is Encoder-Decoder Redundant for Neural Machine Translation?
Encoder-decoder architecture is widely adopted for sequence-to-sequence ...
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10/21/2022
Revisiting Checkpoint Averaging for Neural Machine Translation
Checkpoint averaging is a simple and effective method to boost the perfo...
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11/25/2021
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Machine learning in medical imaging during clinical routine is impaired ...
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10/19/2020
Diving Deep into Context-Aware Neural Machine Translation
Context-aware neural machine translation (NMT) is a promising direction ...
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07/06/2020
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
In medical imaging, technical progress or changes in diagnostic procedur...
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10/28/2019
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification
Prominently used in support vector machines and logistic regressions, ke...
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12/01/2017
