SOTAVerified

Weakly Supervised Classification

Papers

Showing 125 of 39 papers

TitleStatusHype
MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt TuningCode1
PDL: Regularizing Multiple Instance Learning with Progressive Dropout LayersCode1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
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
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk MinimizationCode1
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild.Code1
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image ClassificationCode1
Knodle: Modular Weakly Supervised Learning with PyTorchCode1
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation RegularizationCode1
Interactive Weak Supervision: Learning Useful Heuristics for Data LabelingCode1
Ontology-driven weak supervision for clinical entity classification in electronic health recordsCode1
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide ImagesCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification0
A Spatially-Aware Multiple Instance Learning Framework for Digital PathologyCode0
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology0
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image ClassificationCode0
Kernel Density Matrices for Probabilistic Deep LearningCode0
Easy Learning from Label ProportionsCode0
FastClass: A Time-Efficient Approach to Weakly-Supervised Text ClassificationCode0
LIME: Weakly-Supervised Text Classification Without SeedsCode0
Label Propagation with Weak SupervisionCode0
Class-Imbalanced Complementary-Label Learning via Weighted Loss0
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact0
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Benchmark Results

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