Multiple Instance Learning


Multiple instance learning is a machine learning paradigm where training data is organized into bags of instances.

Interpretable Rheumatoid Arthritis Scoring via Anatomy-aware Multiple Instance Learning

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Aug 08, 2025
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Priority-Aware Pathological Hierarchy Training for Multiple Instance Learning

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Jul 28, 2025
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Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses

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Oct 09, 2025
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ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models

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Sep 26, 2025
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Controllable Latent Space Augmentation for Digital Pathology

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Aug 20, 2025
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Conditional Representation Learning for Customized Tasks

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Oct 06, 2025
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IPGPhormer: Interpretable Pathology Graph-Transformer for Survival Analysis

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Aug 17, 2025
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Live(r) Die: Predicting Survival in Colorectal Liver Metastasis

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Sep 10, 2025
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Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications

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Sep 10, 2025
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MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification

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Aug 13, 2025
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