SOTAVerified

Binary Classification

Papers

Showing 11511175 of 2574 papers

TitleStatusHype
Frustratingly Easy System Combination for Grammatical Error CorrectionCode1
JCT at SemEval-2022 Task 4-A: Patronism Detection in Posts Written in English using Preprocessing Methods and various Machine Leaerning Methods0
University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language0
KaMiKla at SemEval-2022 Task 3: AlBERTo, BERT, and CamemBERT—Be(r)tween Taxonomy Detection and Prediction0
Felix&Julia at SemEval-2022 Task 4: Patronizing and Condescending Language Detection0
UMUTeam at SemEval-2022 Task 5: Combining image and textual embeddings for multi-modal automatic misogyny identification0
CardiffNLP-Metaphor at SemEval-2022 Task 2: Targeted Fine-tuning of Transformer-based Language Models for Idiomaticity Detection0
TE2Rules: Explaining Tree Ensembles using RulesCode1
Causality for Inherently Explainable Transformers: CAT-XPLAINCode0
Improved Text Classification via Test-Time Augmentation0
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking DataCode0
STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm ComparisonCode1
Predicting the Geoeffectiveness of CMEs Using Machine Learning0
Exceedance Probability Forecasting via Regression for Significant Wave Height Prediction0
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks0
Fairness-aware Model-agnostic Positive and Unlabeled Learning0
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification0
The Consistency of Adversarial Training for Binary Classification0
Fair Generalized Linear Models with a Convex PenaltyCode0
DIALOG-22 RuATD Generated Text DetectionCode0
FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning To Rank0
Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification FrameworkCode0
Generalizable Method for Face Anti-Spoofing with Semi-Supervised LearningCode1
Mixed integer linear optimization formulations for learning optimal binary classification treesCode0
Highlights of Semantics in Multi-objective Genetic Programming0
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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