SOTAVerified

Binary Classification

Papers

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Showing 1501–1550 of 2574 papers

TitleStatusHype
Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization—0
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection—0
Can depth-adaptive BERT perform better on binary classification tasks—0
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification—0
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning—0
Fine-Tuning BERTs for Definition Extraction from Mathematical Text—0
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection—0
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients—0
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness—0
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models—0
Fixed Random Classifier Rearrangement for Continual Learning—0
Flow-based Detection of Botnets through Bio-inspired Optimisation of Machine Learning—0
Fock State-enhanced Expressivity of Quantum Machine Learning Models—0
FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with Scalable Explainability—0
FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning To Rank—0
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation—0
Forecasting Drought Using Machine Learning in California—0
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches—0
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression—0
Forecasting Probability of Default for Consumer Loan Management with Gaussian Mixture Models—0
Forensic Analysis of Synthetically Generated Western Blot Images—0
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis—0
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation—0
From Explicit Rules to Implicit Reasoning in an Interpretable Violence Monitoring System—0
FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification—0
Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography—0
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping—0
Functional Frank-Wolfe Boosting for General Loss Functions—0
Fundamental Bounds on Online Strategic Classification—0
Fundamental Laws of Binary Classification—0
Fundamental Limits of Transfer Learning in Binary Classifications—0
Fundamental Tradeoffs in Distributionally Adversarial Training—0
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading—0
Fuse after Align: Improving Face-Voice Association Learning via Multimodal Encoder—0
Movement-Prediction-Adjusted Naïve Forecast—0
Fuzzy Least Squares Twin Support Vector Machines—0
G2D: Generate to Detect Anomaly—0
GAN-based Vertical Federated Learning for Label Protection in Binary Classification—0
GANs for learning from very high class conditional noisy labels—0
GANs 'N Lungs: improving pneumonia prediction—0
Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification—0
Gaussian Conditional Random Fields for Classification—0
Gaussian Conditional Random Fields for Classification—0
General Framework for Binary Classification on Top Samples—0
Generalization Error Bounds for Multiclass Sparse Linear Classifiers—0
Generalization for multiclass classification with overparameterized linear models—0
Generalization Properties of Adversarial Training for _0-Bounded Adversarial Attacks—0
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction—0
Generalized version of the support vector machine for binary classification problems: supporting hyperplane machine—0
Generation of Differentially Private Heterogeneous Electronic Health Records—0
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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