SOTAVerified

Binary Classification

Papers

Showing 16011625 of 2574 papers

TitleStatusHype
A Large Visual, Qualitative and Quantitative Dataset of Web Pages0
DaLAJ - a dataset for linguistic acceptability judgments for Swedish: Format, baseline, sharing0
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application0
Improved Algorithms for Agnostic Pool-based Active Classification0
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning0
Pairwise Fairness for Ordinal RegressionCode0
Semantics in Multi-objective Genetic Programming0
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation0
AdaBoost and robust one-bit compressed sensingCode0
Scalar Adjective Identification and Multilingual Ranking0
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks0
Optimizing Rescoring Rules with Interpretable Representations of Long-Term Information0
Deep Neural Network as an alternative to Boosted Decision Trees for PIDCode0
Morphological classification of astronomical images with limited labelling0
Machine Learning Approaches for Binary Classification to Discover Liver Diseases using Clinical Data0
Achieving Small Test Error in Mildly Overparameterized Neural Networks0
Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media0
QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim VerificationCode0
Machine vision detection to daily facial fatigue with a nonlocal 3D attention network0
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more AttentionCode0
BERT based Transformers lead the way in Extraction of Health Information from Social MediaCode0
Conclusive Local Interpretation Rules for Random ForestsCode0
Sentiment-based Candidate Selection for NMTCode0
Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model0
Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives0
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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