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Weakly Supervised Classification

Papers

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Showing 1–25 of 39 papers

TitleStatusHype
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
A Spatially-Aware Multiple Instance Learning Framework for Digital PathologyCode0
MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt TuningCode1
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology—0
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image ClassificationCode0
PDL: Regularizing Multiple Instance Learning with Progressive Dropout LayersCode1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Kernel Density Matrices for Probabilistic Deep LearningCode0
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide ImagesCode1
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learningCode1
Easy Learning from Label ProportionsCode0
FastClass: A Time-Efficient Approach to Weakly-Supervised Text ClassificationCode0
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk MinimizationCode1
LIME: Weakly-Supervised Text Classification Without SeedsCode0
Label Propagation with Weak SupervisionCode0
Class-Imbalanced Complementary-Label Learning via Weighted Loss—0
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact—0
Learning from Label Proportions by Learning with Label NoiseCode0
Importance of Textlines in Historical Document Classification—0
Self-Training with Differentiable Teacher—0
Weakly Supervised Classification Using Group-Level Labels—0
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild.Code1
On the Robustness of Average Losses for Partial-Label Learning—0
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image ClassificationCode1
Knodle: Modular Weakly Supervised Learning with PyTorchCode1
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All datasetsShARe/CLEF 2014: Task 2 DisordersTHYME-2016

Benchmark Results

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