3 citations · 3 across the 1 of their papers we have counts for
2 papers
eess.AS2019★ 3 cited
Label-efficient audio classification through multitask learning and self-supervision
Tyler Lee, Ting Gong, Suchismita Padhy +2
While deep learning has been incredibly successful in modeling tasks with large, carefully curated labeled datasets, its application to problems with limited labeled data remains a…
cs.CV2019
Self-Supervised Audio-Visual Co-Segmentation
Andrew Rouditchenko, Hang Zhao, Chuang Gan +2
Segmenting objects in images and separating sound sources in audio are challenging tasks, in part because traditional approaches require large amounts of labeled data. In this pape…