There are many instances where we would like to predict how a time series will behave in the future. For example, we may be interested in forecasting web page viewership, weather conditions ...

The entire input sequence is compressed into a single fixed-size vector (final LSTM hidden state). The decoder only sees this one vector — information bottleneck problem. Input → Embedding → LSTM ...

Abstract: English-Telugu neural machine translation is a hard task, mostly because of the lack of parallel corpora and morphological drastically different languages. Although modern models are rapidly ...

Abstract: Generating high-quality image captions remains a challenging task for low-resource and morphologically complex languages such as Myanmar. This paper presents a journal-ready enhanced encoder ...