2 papers
cs.CV2020
Improving Image Autoencoder Embeddings with Perceptual Loss
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Autoencoders are commonly trained using element-wise loss. However, element-wise loss disregards high-level structures in the image which can lead to embeddings that disregard them…
cs.CL2018
Subword Semantic Hashing for Intent Classification on Small Datasets
Kumar Shridhar, Ayushman Dash, Amit Sahu +6
In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchma…