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		<title>Softening Hard Masks: New Correction Method Tames Overconfident AI Labels</title>
		<link>https://bioengineer.org/softening-hard-masks-new-correction-method-tames-overconfident-ai-labels/</link>
		
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		<pubDate>Mon, 26 Oct 2026 16:41:26 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[candidate labels]]></category>
		<category><![CDATA[CIFAR-100]]></category>
		<category><![CDATA[Conflict-aware]]></category>
		<category><![CDATA[expected calibration error]]></category>
		<category><![CDATA[hard masking]]></category>
		<category><![CDATA[image classification]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[multi-view training]]></category>
		<category><![CDATA[partial-label learning]]></category>
		<category><![CDATA[posterior correction]]></category>
		<category><![CDATA[pseudo-labels]]></category>
		<category><![CDATA[weak supervision]]></category>
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					<description><![CDATA[A new method called Conflict-Aware Posterior Correction softens the hard masking used in partial-label learning, improving Top-1 accuracy by 1.01 to 3.69 percentage points over hard masking across six image benchmarks while also reducing expected calibration error.]]></description>
		
		
		
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