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Binary Classification

Papers

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Showing 1251–1275 of 2574 papers

TitleStatusHype
UMUTeam at SemEval-2022 Task 6: Evaluating Transformers for detecting Sarcasm in English and Arabic—0
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge TransferCode0
PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning—0
University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language—0
Felix&Julia at SemEval-2022 Task 4: Patronizing and Condescending Language Detection—0
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion—0
CardiffNLP-Metaphor at SemEval-2022 Task 2: Targeted Fine-tuning of Transformer-based Language Models for Idiomaticity Detection—0
Causality for Inherently Explainable Transformers: CAT-XPLAINCode0
Improved Text Classification via Test-Time Augmentation—0
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking DataCode0
Predicting the Geoeffectiveness of CMEs Using Machine Learning—0
Exceedance Probability Forecasting via Regression for Significant Wave Height Prediction—0
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks—0
Fairness-aware Model-agnostic Positive and Unlabeled Learning—0
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification—0
The Consistency of Adversarial Training for Binary Classification—0
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 Rank—0
Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification FrameworkCode0
Mixed integer linear optimization formulations for learning optimal binary classification treesCode0
Highlights of Semantics in Multi-objective Genetic Programming—0
Information Threshold, Bayesian Inference and Decision-Making—0
Combinatorial optimization for low bit-width neural networks—0
MCD: Marginal Contrastive Discrimination for conditional density estimation—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