SOTAVerified

Ordinal Classification

Papers

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Showing 51–72 of 72 papers

TitleStatusHype
Non-parametric Uni-modality Constraints for Deep Ordinal ClassificationCode0
Deep Sensor Fusion for Real-Time Odometry Estimation—0
SDNet: Semantically Guided Depth Estimation Network—0
Cumulative link models for deep ordinal classificationCode0
Mental Fatigue Monitoring using Brain Dynamics Preferences—0
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression—0
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala—0
Label Noise Filtering Techniques to Improve Monotonic Classification—0
UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models—0
SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection—0
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets—0
YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets—0
SemEval-2018 Task 1: Affect in Tweets—0
Image Ordinal Classification and Understanding: Grid Dropout with Masking Label—0
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets—0
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification—0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets—0
Unimodal probability distributions for deep ordinal classification—0
A simple squared-error reformulation for ordinal classificationCode3
Electre Tri-Machine Learning Approach to the Record Linkage Problem—0
Noncrossing Ordinal Classification—0
oAdaBoost: An AdaBoost Variant for Ordinal ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet-18Mean absolute error2.56—Unverified