most citedMulti-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Rethinking the Value of Labels for Instance-Dependent Label Noise Learning

Hanwen Deng, Weijia Zhang, Min-Ling Zhang

Label noise widely exists in large-scale datasets and significantly degenerates the performances of deep learning algorithms. Due to the non-identifiability of the instance-depende…

cs.LG2022★ 6 cited

Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization

Weijia Zhang, Xuanhui Zhang, Han-Wen Deng +1

Multi-instance learning (MIL) deals with objects represented as bags of instances and can predict instance labels from bag-level supervision. However, significant performance gaps…