Recent contrastive representation learning methods rely on estimating mu...
Although recent scaling up approaches to train deep neural networks have...
Domain adaptation has recently become a key problem in dialogue systems
...
This paper introduces the Eighth Dialog System Technology Challenge. In ...
There has been growing interest in using neural networks and deep learni...
Understanding audio-visual content and the ability to have an informativ...
Conditional text-to-image generation approaches commonly focus on genera...
We introduce a new benchmark task for coreference resolution, Hard-CoRe,...
Automated metrics such as BLEU are widely used in the machine translatio...
Recently, resources and tasks were proposed to go beyond state tracking ...
This paper presents the Frames dataset (Frames is available at
http://da...
Natural language generation plays a critical role in spoken dialogue sys...
In this paper, we propose to use deep policy networks which are trained ...