Weakly Supervised Learning

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תובנה - Weakly Supervised Learning

RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules

The authors propose RulePrompt, a novel approach that leverages logical rules to enhance the understanding of categories in weakly supervised text classification tasks using prompting PLMs.

SCARCE: A Novel Approach for Complementary-Label Learning

提案されたSCARCEアプローチは、均一な分布仮定や通常のラベルトレーニングセットに依存せず、一貫性のある補完ラベル学習を実現します。

Learning from Reduced Labels for Long-Tailed Data Analysis

Introducing Reduced Labels for Long-Tailed Data to preserve supervised information and decrease labeling costs.

Complementary Label Learning without Assumptions: SCARCE Approach

SCARCE proposes a consistent approach for complementary-label learning without relying on distribution assumptions, showing superior performance.

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