20 citations · 46 across the 10 of their papers we have counts for
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cs.CV2021★ 1 cited
PatchNet: Unsupervised Object Discovery based on Patch Embedding
Hankyu Moon, Heng Hao, Sima Didari +2
We demonstrate that frequently appearing objects can be discovered by training randomly sampled patches from a small number of images (100 to 200) by self-supervision. Key to this…
cs.LG2021★ 2 cited
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
Jae Oh Woo
Acquiring labeled data is challenging in many machine learning applications with limited budgets. Active learning gives a procedure to select the most informative data points and i…
cs.CV2021
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification
Heng Hao, Hankyu Moon, Sima Didari +2
We propose a highly data-efficient active learning framework for image classification. Our novel framework combines: (1) unsupervised representation learning of a Convolutional Neu…