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Binary Classification

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Showing 1051–1075 of 2574 papers

TitleStatusHype
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression—0
Applying unsupervised keyphrase methods on concepts extracted from discharge sheets—0
Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation when the SCAR assumption does not holdCode0
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection—0
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single ModelsCode0
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers—0
Transformer Models for Acute Brain Dysfunction Prediction—0
VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow—0
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging—0
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data—0
On the Implicit Bias of Linear Equivariant Steerable Networks—0
Learning Label Encodings for Deep RegressionCode0
Evaluation of Confidence-based Ensembling in Deep Learning Image Classification—0
On the complexity of PAC learning in Hilbert spaces—0
Sparse-penalized deep neural networks estimator under weak dependence—0
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models—0
Complementary to Multiple Labels: A Correlation-Aware Correction Approach—0
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space—0
A Comparison of Modeling Preprocessing Techniques—0
Fundamental Bounds on Online Strategic Classification—0
Neural-based classification rule learning for sequential data—0
A Generalized Weighted Loss for SVC and MLP—0
Does the evaluation stand up to evaluation? A first-principle approach to the evaluation of classifiers—0
A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss—0
The Generalization Error of Stochastic Mirror Descent on Over-Parametrized Linear Models—0
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All datasetsfakekickstarterGlyphnet DatasetTII-SSRC-23

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98—Unverified
2LightGBM + OpenAI embeddingAUROC0.97—Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96—Unverified
4LightGBM + RoBERTa embeddingAUROC0.95—Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94—Unverified
6ResNet + RoBERTa embeddingAUROC0.93—Unverified
7ResNet + OpenAI embeddingAUROC0.92—Unverified
8FTTransformer + OpenAI embeddingAUROC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81—Unverified
2Multimodal-Net All-TextAUROC0.8—Unverified
3ResNet + RoBERTa finetuneAUROC0.79—Unverified
4LightGBM + RoBERTa embeddingAUROC0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79—Unverified