SOTAVerified

Binary Classification

Papers

Showing 451475 of 2574 papers

TitleStatusHype
Conformal Transformation of Kernels: A Geometric Perspective on Text Classification0
Aligning Multiclass Neural Network Classifier Criterion with Task Performance via F_β-Score0
Threshold-Independent Fair Matching through Score CalibrationCode0
Video-Language Critic: Transferable Reward Functions for Language-Conditioned RoboticsCode0
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning0
Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural NetsCode0
Glauber Generative Model: Discrete Diffusion Models via Binary Classification0
Exploring the Performance of Continuous-Time Dynamic Link Prediction AlgorithmsCode0
Competing for pixels: a self-play algorithm for weakly-supervised segmentationCode0
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts0
Smoothed Online Classification can be Harder than Batch Classification0
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making0
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?0
High-dimensional Learning with Noisy Labels0
Retrieval-Augmented Mining of Temporal Logic Specifications from Data0
AnyLoss: Transforming Classification Metrics into Loss FunctionsCode0
Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation0
Inverse Design of Metal-Organic Frameworks Using Quantum Natural Language ProcessingCode0
A Three-Phase Analysis of Synergistic Effects During Co-pyrolysis of Algae and Wood for Biochar Yield Using Machine Learning0
Online Mental Stress Detection Using Frontal-channel EEG Recordings in a Classroom Scenario0
Solving the enigma: Deriving optimal explanations of deep networksCode0
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino StudentsCode0
SpecDETR: A Transformer-based Hyperspectral Point Object Detection NetworkCode2
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach0
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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