This paper compares and analyzes the classification performance of latent vectors in the encoder-decoder model. A typical encoder-decoder model, such as an autoencoder, transforms the encoder input ...

Our work demonstrates that encoder-decoder models inherently outperform decoder-only architectures before any optimizations: Base encoder-decoder achieves +2-4% performance improvement across tasks; ...

Atmospheric PM2.5 is a major pollutant impacting on human health and the environment. Based on traditional neural networks, we construct three prediction models: BP, Stack GRU, and Encoder-Decoder. We ...

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ...