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Binary Classification

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Showing 2201–2250 of 2574 papers

TitleStatusHype
Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement—0
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
Beyond Toxic: Toxicity Detection Datasets are Not Enough for Brand Safety—0
Beyond Worst-Case Online Classification: VC-Based Regret Bounds for Relaxed Benchmarks—0
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations—0
Binarizing by Classification: Is soft function really necessary?—0
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes—0
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction—0
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts—0
Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method—0
Binary Classification from Positive Data with Skewed Confidence—0
Binary Classification: Is Boosting stronger than Bagging?—0
Binary Classification of Alzheimer Disease using sMRI Imaging modality and Deep Learning—0
Binary classification of multi-channel EEG records based on the ε-complexity of continuous vector functions—0
Binary classification of proteins by a Machine Learning approach—0
Binary classification of spoken words with passive phononic metamaterials—0
Binary Classification Tests, Imperfect Standards, and Ambiguous Information—0
Binary Classification Under _0 Attacks for General Noise Distribution—0
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees—0
Binary classification with ambiguous training data—0
Binary Classification with Bounded Abstention Rate—0
Binary Classification with Classical Instances and Quantum Labels—0
Binary Classification with Confidence Difference—0
Binary classification with corrupted labels—0
Binary Classification with Instance and Label Dependent Label Noise—0
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics—0
Binary Classification with Positive Labeling Sources—0
Binary Classifier Calibration: Bayesian Non-Parametric Approach—0
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models—0
Binary disease prediction using tail quantiles of the distribution of continuous biomarkers—0
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models—0
Bispectrum Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization—0
BLIA: Detect model memorization in binary classification model through passive Label Inference attack—0
BNS-Net: A Dual-channel Sarcasm Detection Method Considering Behavior-level and Sentence-level Conflicts—0
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis—0
Boosting in the presence of outliers: adaptive classification with non-convex loss functions—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
Boosting the Performance of Transformer Architectures for Semantic Textual Similarity—0
Boosting with Abstention—0
BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification—0
Brain Tumor Radiogenomic Classification—0
Breaking Down Word Semantics from Pre-trained Language Models through Layer-wise Dimension Selection—0
Breaking Fair Binary Classification with Optimal Flipping Attacks—0
Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT—0
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning—0
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens—0
Building Decision Forest via Deep Reinforcement Learning—0
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering—0
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence—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