SOTAVerified

Binary Classification

Papers

Showing 9761000 of 2574 papers

TitleStatusHype
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images0
Strokes2Surface: Recovering Curve Networks From 4D Architectural Design SketchesCode0
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision0
DACCORD : un jeu de données pour la Détection Automatique d'énonCés COntRaDictoires en françaisCode0
Machine-Learning Kronecker Coefficients0
Binary Classification with Instance and Label Dependent Label Noise0
Matched Pair Calibration for Ranking Fairness0
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables0
Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training0
Streaming algorithms for evaluating noisy judges on unlabeled data -- binary classification0
Boosting the Performance of Transformer Architectures for Semantic Textual Similarity0
Identifying Visible Tissue in Intraoperative Ultrasound Images during Brain Surgery: A Method and Application0
The Risks of Recourse in Binary ClassificationCode0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability0
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations0
Representer Point Selection for Explaining Regularized High-dimensional Models0
Attention-Based Methods For Audio Question Answering0
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuningCode0
LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts0
Faster Margin Maximization Rates for Generic and Adversarially Robust Optimization Methods0
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup0
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question AnsweringCode0
Evaluating Factual Consistency of Summaries with Large Language ModelsCode0
Relabeling Minimal Training Subset to Flip a PredictionCode0
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model0
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Benchmark Results

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