research
∙
02/06/2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Text-guided generative diffusion models unlock powerful image creation a...
share
research
∙
04/05/2022
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Data augmentation is a widely employed technique to alleviate the proble...
research
∙
04/14/2021
Can Active Learning Preemptively Mitigate Fairness Issues?
Dataset bias is one of the prevailing causes of unfairness in machine le...
research
∙
09/14/2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
Progress in the field of machine learning has been fueled by the introdu...
research
∙
06/17/2020
Bayesian active learning for production, a systematic study and a reusable library
Active learning is able to reduce the amount of labelling effort by usin...
research
∙
09/21/2019