SOTAVerified

Binary Classification

Papers

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Showing 1276–1300 of 2574 papers

TitleStatusHype
Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa—0
Weakly Supervised Classification in High Energy Physics—0
Weakly Supervised Classification Using Group-Level Labels—0
Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity—0
WEARS: Wearable Emotion AI with Real-time Sensor data—0
Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge—0
What Can Be Predicted from Six Seconds of Driver Glances?—0
What Makes a Concept Complex? Measuring Conceptual Complexity as a Precursor for Text Simplification—0
What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts—0
What's Race Got to do with it? Predicting Youth Depression Across Racial Groups Using Machine and Deep Learning—0
When does gradient descent with logistic loss find interpolating two-layer networks?—0
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers—0
When is the majority-vote classifier beneficial?—0
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study—0
When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?—0
Who is More Bayesian: Humans or ChatGPT?—0
Who will dropout from university? Academic risk prediction based on interpretable machine learning—0
Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training—0
Why comparing survival curves between two subgroups may be misleading—0
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power—0
Xtreme Margin: A Tunable Loss Function for Binary Classification Problems—0
Y-net: 3D intracranial artery segmentation using a convolutional autoencoder—0
YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles—0
YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic—0
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates—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