9 citations · 10 across the 8 of their papers we have counts for
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cs.CV2024
Joint-Task Regularization for Partially Labeled Multi-Task Learning
Kento Nishi, Junsik Kim, Wanhua Li +1
Multi-task learning has become increasingly popular in the machine learning field, but its practicality is hindered by the need for large, labeled datasets. Most multi-task learnin…
cs.CV2021★ 9 cited
Augmentation Strategies for Learning with Noisy Labels
Kento Nishi, Yi Ding, Alex Rich +1
Imperfect labels are ubiquitous in real-world datasets. Several recent successful methods for training deep neural networks (DNNs) robust to label noise have used two primary techn…