SOTAVerified

Binary Classification

Papers

Showing 20512075 of 2574 papers

TitleStatusHype
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and VideosCode0
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees0
Online Active Learning of Reject Option Classifiers0
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary ClassificationCode0
Balanced off-policy evaluation in general action spaces0
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data0
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation0
SC-UPB at the VarDial 2019 Evaluation Campaign: Moldavian vs. Romanian Cross-Dialect Topic Identification0
The R2I\_LIS Team Proposes Majority Vote for VarDial's MRC Task0
CLPsych2019 Shared Task: Predicting Suicide Risk Level from Reddit Posts on Multiple Forums0
JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods0
NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs0
Spider-Jerusalem at SemEval-2019 Task 4: Hyperpartisan News Detection0
Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System0
Active Learning for Binary Classification with Abstention0
Orthogonal Decomposition Network for Pixel-Wise Binary Classification0
Improving Open Information Extraction via Iterative Rank-Aware LearningCode0
Optimized Score Transformation for Consistent Fair Classification0
Transient-evoked otoacoustic emission signals predicting outcomes of acute sensorineural hearing loss in patients with Meniere's Disease0
Deep multi-class learning from label proportions0
MaxiMin Active Learning in Overparameterized Model Classes0
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization0
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification0
Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems0
On a scalable problem transformation method for multi-label learning0
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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