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Binary Classification

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Showing 1701–1750 of 2574 papers

TitleStatusHype
Minimum Excess Risk in Bayesian Learning—0
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare—0
Universal Approximation Properties for an ODENet and a ResNet: Mathematical Analysis and Numerical Experiments—0
Binary Classification Tests, Imperfect Standards, and Ambiguous Information—0
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape—0
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree—0
Five Psycholinguistic Characteristics for Better Interaction with Users—0
A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning—0
Price Suggestion for Online Second-hand Items with Texts and Images—0
Vision-based Price Suggestion for Online Second-hand Items—0
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem—0
Grammar-aware sentence classification on quantum computers—0
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules—0
When does gradient descent with logistic loss find interpolating two-layer networks?—0
Financial Document Causality Detection Shared Task (FinCausal 2020)—0
D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization—0
The Financial Document Causality Detection Shared Task (FinCausal 2020)—0
Predicting Clickbait Strength in Online Social Media—0
UPB at FinCausal-2020, Tasks 1 & 2: Causality Analysis in Financial Documents using Pretrained Language ModelsCode0
A Fair Classifier Using Kernel Density Estimation—0
Task-Aware Representation of Sentences for Generic Text Classification—0
Applying Multilingual and Monolingual Transformer-Based Models for Dialect Identification—0
Chinese Grammatical Error Detection Based on BERT Model—0
ISIKUN at the FinCausal 2020: Linguistically informed Machine-learning Approach for Causality Identification in Financial DocumentsCode0
JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection—0
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questionsCode0
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection—0
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case—0
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts—0
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit—0
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels—0
Implicit bias of deep linear networks in the large learning rate phase—0
Screening COVID-19 cases using Deep Neural Networks with X-ray images—0
A More Biologically Plausible Local Learning Rule for ANNs—0
Quantum Multiple Kernel Learning—0
Neural network approximation and estimation of classifiers with classification boundary in a Barron class—0
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization—0
Forecasting Probability of Default for Consumer Loan Management with Gaussian Mixture Models—0
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View—0
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling—0
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure—0
Linear Dilation-Erosion Perceptron for Binary Classification—0
Classification of optics-free images with deep neural networks—0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks—0
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning—0
Binary classification with ambiguous training data—0
Node-Centric Graph Learning from Data for Brain State Identification—0
SU-NLP at WNUT-2020 Task 2: The Ensemble Models—0
NLP-PINGAN-TECH @ CL-SciSumm 2020—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