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Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Learning causal representation from multi-instance bags significantly improves performances of both MIL and OOD tasks.
Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang
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Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
A deep generative approach for non-i.i.d multi-instance learning.
Weijia Zhang
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Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels using Variational Auto-Encoder
Robust multi-instance learning with stable instances
An inherent link between multi-instance learning and causal inference.
Wejia Zhang, Lin Liu, Jiuyong Li
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Robust multi-instance learning with stable instances
Multi-instance learning with distribution change
Weijia Zhang, Zhi-Hua Zhou
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Multi-instance learning with distribution change