We examine how much of the contemporary progress in artificial intellige...
In the last years machine learning (ML) has moved from a academic endeav...
This work introduces Focused-Variation Network (FVN), a novel model to
c...
The quality of automatic speech recognition (ASR) is critical to Dialogu...
This work presents an exploration and imitation-learning-based agent cap...
As the field of Spoken Dialogue Systems and Conversational AI grows, so ...
Fast adaptation to new data is one key facet of human intelligence and i...
Large transformer-based language models (LMs) trained on huge text corpo...
In this work we present Ludwig, a flexible, extensible and easy to use
t...
Dialogue management (DM) plays a key role in the quality of the interact...
This paper proposes a novel end-to-end architecture for task-oriented
di...
We present the first complete attempt at concurrently training conversat...
Embeddings are a fundamental component of many modern machine learning a...
Interpretation and diagnosis of machine learning models have gained rene...
Few ideas have enjoyed as large an impact on deep learning as convolutio...
For a company looking to provide delightful user experiences, it is of
p...