Advancing Abstractive Bangla Text Summarization: A Deep Learning Approach Using Seq2seq Encoder- Decoder Model and T5 Transformer ... Sequence-to-sequence (se q2se q) encoder-decoder model and T5 ...

For a LSTM seq2seq timeseries mostly a windowed dataset which is a tf tensor built to feed the data to the model with a shape of [samples, timesteps ... The question is now to see if SHAP can work ...

In the first stage, CodeT5+ is pretrained on large-scale code unimodal data from open-source platforms such as GitHub. This pretraining uses a mixture of objectives — span denoising, decoder-only ...

I am looking for a way to export an encoder-decoder to ONNX to run inference. I followed the guide at Exporting Transformers Models but that only shows an example of an encoder-only model. Trying to ...

However, the existing MTL models show very little improvement over single-task learning, wherein they still generate generic and inconsistent answers. This paper presents a novel approach to MTL for ...

While Seq2Seq and its variants achieve strong performance on various applications, a consistent interpretation of how the encoder-decoder structure is capable to embed the data for general time-series ...