research
∙
05/04/2023
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders
It is challenging to extract semantic meanings directly from audio signa...
share
research
∙
05/06/2022
Federated Learning with Noisy User Feedback
Machine Learning (ML) systems are getting increasingly popular, and driv...
research
∙
05/03/2022
Training Mixed-Domain Translation Models via Federated Learning
Training mixed-domain translation models is a complex task that demands ...
research
∙
02/08/2022
Learnings from Federated Learning in the Real world
Federated Learning (FL) applied to real world data may suffer from sever...
research
∙
12/21/2020
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
We propose a novel Transformer encoder-based architecture with syntactic...
research
∙
02/14/2012
