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Weakly Supervised Classification

Papers

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Showing 1–25 of 39 papers

TitleStatusHype
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild.Code1
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image ClassificationCode1
Interactive Weak Supervision: Learning Useful Heuristics for Data LabelingCode1
Knodle: Modular Weakly Supervised Learning with PyTorchCode1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation RegularizationCode1
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide ImagesCode1
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide ImagesCode1
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learningCode1
MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt TuningCode1
Ontology-driven weak supervision for clinical entity classification in electronic health recordsCode1
PDL: Regularizing Multiple Instance Learning with Progressive Dropout LayersCode1
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk MinimizationCode1
Importance of Textlines in Historical Document Classification—0
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology—0
A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping—0
Self-Training with Differentiable Teacher—0
Weakly Supervised Classification in High Energy Physics—0
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact—0
Weakly Supervised Classification Using Group-Level Labels—0
Historical Credibility for Movie Reviews and Its Application to Weakly Supervised Classification—0
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs—0
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
Information-Theoretic Representation Learning for Positive-Unlabeled Classification—0
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All datasetsShARe/CLEF 2014: Task 2 DisordersTHYME-2016

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TroveF192.7—Unverified
#ModelMetricClaimedVerifiedStatus
1TroveF172.9—Unverified