Latent diffusion models for image generation have crossed a quality thre...
Indoor scene synthesis involves automatically picking and placing furnit...
Over the last decade, online lecture videos have become increasingly pop...
Existing hybrid retrievers which integrate sparse and dense retrievers, ...
We present an empirical study of adapting an existing pretrained text-to...
Task-oriented semantic parsing models have achieved strong results in re...
Many NLP tasks require processing long contexts beyond the length limit ...
This paper proposes a video editor based on OpenShot with several
state-...
Despite their recent popularity and well known advantages, dense retriev...
Pre-training on larger datasets with ever increasing model size is now a...
We propose pre-finetuning, an additional large-scale learning stage betw...
We introduce a new task of rephrasing for a more natural virtual assista...
Scaling semantic parsing models for task-oriented dialog systems to new
...
Although widely adopted, existing approaches for fine-tuning pre-trained...
Large, richly annotated datasets have accelerated progress in fields suc...
Imitation Learning has empowered recent advances in learning robotic
man...
We consider partially observable Markov decision processes (POMDPs) with...