SOTAVerified

Binary Classification

Papers

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Showing 1401–1425 of 2574 papers

TitleStatusHype
Ensembles of Classifiers for Cleaning Web Parallel Corpora and Translation Memories—0
Ensembles of phalanxes across assessment metrics for robust ranking of homologous proteins—0
EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?—0
Enterprise Analytics using Graph Database and Graph-based Deep Learning—0
Entropy-difference based stereo error detection—0
E-PixelHop: An Enhanced PixelHop Method for Object Classification—0
EquiBench: Benchmarking Large Language Models' Understanding of Program Semantics via Equivalence Checking—0
Equity-Directed Bootstrapping: Examples and Analysis—0
Error Exponent in Agnostic PAC Learning—0
Estimating Learnability in the Sublinear Data Regime—0
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression—0
Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits—0
ETF Risk Models—0
Evaluating a Novel Neuroevolution and Neural Architecture Search System—0
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods—0
Evaluating the Correctness of Explainable AI Algorithms for Classification—0
Evaluating the Fairness Impact of Differentially Private Synthetic Data—0
Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques—0
Evaluation of Confidence-based Ensembling in Deep Learning Image Classification—0
Evaluation of LLM Chatbots for OSINT-based Cyber Threat Awareness—0
Evaluation of QCNN-LSTM for Disability Forecasting in Multiple Sclerosis Using Sequential Multisequence MRI—0
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022—0
Event-Triggered GAT-LSTM Framework for Attack Detection in Heating, Ventilation, and Air Conditioning Systems—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings—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