The paper posits that the true target does not exist and introduces the EL-MIATTs framework for evaluation and learning under Democratic Supervision in machine learning.
Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision
The paper posits that the true target does not exist and introduces the EL-MIATTs framework for evaluation and learning under Democratic Supervision in machine learning.