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Found 4 papers, 2 papers with code
Batch Active Learning at Scale
The ability to train complex and highly effective models often requires an abundance of training data, which can easily become a bottleneck in cost, time, and computational resources.
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets
Hierarchical Agglomerative Clustering (HAC) is one of the oldest but still most widely used clustering methods.
Online Hierarchical Clustering Approximations
The second algorithm, OHAC, is an online counterpart to offline HAC, which is known to yield a 1/3-approximation to the MW revenue, and produce good quality clusters in practice.
Flattening a Hierarchical Clustering through Active Learning
We investigate active learning by pairwise similarity over the leaves of trees originating from hierarchical clustering procedures.
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