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Binary Classification

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Showing 1726–1750 of 2574 papers

TitleStatusHype
Large-Margin Classification with Multiple Decision Rules—0
Large-Margin Convex Polytope Machine—0
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning—0
Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events—0
Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification—0
LastResort at SemEval-2022 Task 4: Towards Patronizing and Condescending Language Detection using Pre-trained Transformer Based Models Ensembles—0
Latenrgy: Model Agnostic Latency and Energy Consumption Prediction for Binary Classifiers—0
LatentForensics: Towards frugal deepfake detection in the StyleGAN latent space—0
Learning a Descriptor-Specific 3D Keypoint Detector—0
Learning Affective Correspondence between Music and Image—0
Learning as MAP Inference in Discrete Graphical Models—0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
Learning CNN filters from user-drawn image markers for coconut-tree image classification—0
Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs—0
Learning Confidence Sets using Support Vector Machines—0
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision—0
Contrastive Video Representation Learning via Adversarial Perturbations—0
Learning Discriminative Video Representations Using Adversarial Perturbations—0
Learning Domain Invariant Representations for Child-Adult Classification from Speech—0
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework—0
Learning from few examples: Classifying sex from retinal images via deep learning—0
Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization—0
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation—0
Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions—0
Learning from Natural Language Explanations for Generalizable Entity Matching—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