SOTAVerified

Binary Classification

Papers

Showing 17761800 of 2574 papers

TitleStatusHype
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty QuantificationCode0
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis PredictionCode1
Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic NodesCode0
Gesture Recognition for Initiating Human-to-Robot HandoversCode1
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed DatasetsCode1
Convexifying Sparse Interpolation with Infinitely Wide Neural Networks: An Atomic Norm Approach0
The Notary in the Haystack -- Countering Class Imbalance in Document Processing with CNNs0
Degrees of individual and groupwise backward and forward responsibility in extensive-form games with ambiguity, and their application to social choice problems0
Predictive Value Generalization Bounds0
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing0
Robust Bayesian Classification Using an Optimistic Score RatioCode0
Machine Learning with the Sugeno Integral: The Case of Binary Classification0
Consistent Structured Prediction with Max-Min Margin Markov NetworksCode0
ACFD: Asymmetric Cartoon Face DetectorCode1
Efficient computation and analysis of distributional Shapley values0
Second Order PAC-Bayesian Bounds for the Weighted Majority VoteCode1
Information Theoretic Lower Bounds for Feed-Forward Fully-Connected Deep Networks0
An ensemble learning framework based on group decision making0
Making Use of NXt to Nothing: The Effect of Class Imbalances on DGA Detection Classifiers0
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling0
Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa0
Digit Image Recognition Using an Ensemble of One-Versus-All Deep Network Classifiers0
Predicting Customer Churn in World of Warcraft0
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case0
Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack DetectionCode1
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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