[HTML][HTML] Text classification algorithms: A survey
In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …
and texts that require a deeper understanding of machine learning methods to be able to …
A survey of multilingual neural machine translation
We present a survey on multilingual neural machine translation (MNMT), which has gained
a lot of traction in recent years. MNMT has been useful in improving translation quality as a …
a lot of traction in recent years. MNMT has been useful in improving translation quality as a …
A survey of cross-lingual word embedding models
Cross-lingual representations of words enable us to reason about word meaning in
multilingual contexts and are a key facilitator of cross-lingual transfer when developing …
multilingual contexts and are a key facilitator of cross-lingual transfer when developing …
Learning bilingual word embeddings with (almost) no bilingual data
Most methods to learn bilingual word embeddings rely on large parallel corpora, which is
difficult to obtain for most language pairs. This has motivated an active research line to relax …
difficult to obtain for most language pairs. This has motivated an active research line to relax …
A review of deep learning models for time series prediction
Z Han, J Zhao, H Leung, KF Ma… - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
In order to approximate the underlying process of temporal data, time series prediction has
been a hot research topic for decades. Developing predictive models plays an important role …
been a hot research topic for decades. Developing predictive models plays an important role …
Collaborative denoising auto-encoders for top-n recommender systems
Most real-world recommender services measure their performance based on the top-N
results shown to the end users. Thus, advances in top-N recommendation have far-ranging …
results shown to the end users. Thus, advances in top-N recommendation have far-ranging …
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Usually bilingual word vectors are trained" online". Mikolov et al. showed they can also be
found" offline", whereby two pre-trained embeddings are aligned with a linear …
found" offline", whereby two pre-trained embeddings are aligned with a linear …
Multilingual knowledge graph embeddings for cross-lingual knowledge alignment
Many recent works have demonstrated the benefits of knowledge graph embeddings in
completing monolingual knowledge graphs. Inasmuch as related knowledge bases are built …
completing monolingual knowledge graphs. Inasmuch as related knowledge bases are built …
On deep multi-view representation learning
We consider learning representations (features) in the setting in which we have access to
multiple unlabeled views of the data for representation learning while only one view is …
multiple unlabeled views of the data for representation learning while only one view is …
Bearing remaining useful life prediction based on deep autoencoder and deep neural networks
Bearings play a crucial part in reliable operation of rotating machinery in manufacturing
systems. There is a growing demand for smart prognostics of bearing remaining useful life …
systems. There is a growing demand for smart prognostics of bearing remaining useful life …