Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology

Additive MIL：用于病理学的本质可解释多实例学习.

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

TransMIL：基于Transformer的相关多实例学习用于全切片图像分类.

Adaptive Pooling in Multi-Instance Learning for Web Video Annotation

网页视频标注的多实例学习中的自适应池化.

Certainty Pooling for Multiple Instance Learning

多实例学习的确定性池化.

Power pooling: An adaptive pooling function for weakly labelled sound event detection

Power pooling：弱标签声音事件检测的自适应池化函数.

Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification

基于最大池化的多实例学习实现更鲁棒的全切片图像分类.