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Found 3 papers, 1 papers with code
Distribution Based MIL Pooling Filters are Superior to Point Estimate Based Counterparts
We showed that the performance of different pooling filters are different for different MIL tasks.
Studying The Effect of MIL Pooling Filters on MIL Tasks
In this paper, we study the effect of different MIL pooling filters on the performance of MIL models in real world MIL tasks.
Weakly Supervised Clustering by Exploiting Unique Class Count
We have constructed a neural network based $ucc$ classifier and experimentally shown that the clustering performance of our framework with our weakly supervised $ucc$ classifier is comparable to that of fully supervised learning models where labels for all instances are known.
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