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Binary Classification

Papers

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Showing 776–800 of 2574 papers

TitleStatusHype
Active Heteroscedastic Regression—0
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)—0
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss—0
Communication-Efficient, 2D Parallel Stochastic Gradient Descent for Distributed-Memory Optimization—0
Design of Data-Driven Mathematical Laws for Optimal Statistical Classification Systems—0
Estimating a sharp convergence bound for randomized ensembles—0
DisCoveR: Accurate & Efficient Discovery of Declarative Process Models—0
Common Mode Patterns for Supervised Tensor Subspace Learning—0
Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks—0
A Self-Supervised Transformer for Unusable Shared Bike Detection—0
Combining Varied Learners for Binary Classification using Stacked Generalization—0
Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling—0
Detecting Anti-vaccine Content on Twitter using Multiple Message-Based Network Representations—0
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach—0
Balanced off-policy evaluation in general action spaces—0
Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder—0
Balancing Fairness and Accuracy in Data-Restricted Binary Classification—0
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification—0
Can-SAVE: Mass Cancer Risk Prediction via Survival Analysis Variables and EHR—0
Detecting immune cells with label-free two-photon autofluorescence and deep learning—0
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated—0
Detecting Neurodegenerative Diseases using Frame-Level Handwriting Embeddings—0
Detecting People Interested in Non-Suicidal Self-Injury on Social Media—0
ASE: Anomaly Scoring Based Ensemble Learning for Imbalanced Datasets—0
A global feature extraction model for the effective computer aided diagnosis of mild cognitive impairment using structural MRI images—0
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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