SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 201–225 of 14581 papers

TitleStatusHype
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Are Classes Clusters?—0
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social MediaCode1
Augmenting Deep Classifiers with Polynomial Neural NetworksCode0
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure AnalysisCode1
Flexible Instance-Specific Rationalization of NLP ModelsCode0
Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model—0
Contrastive Learning for Sports Video: Unsupervised Player ClassificationCode1
Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision TransformerCode0
A survey of active learning algorithms for supervised remote sensing image classification—0
Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data—0
Out-of-Distribution Detection for Dermoscopic Image Classification—0
Detect and Classify -- Joint Span Detection and Classification for Health OutcomesCode0
HIVE-COTE 2.0: a new meta ensemble for time series classificationCode1
BERT based Transformers lead the way in Extraction of Health Information from Social MediaCode0
Hierarchical Learning for Generation with Long Source Sequences—0
Text Guide: Improving the quality of long text classification by a text selection method based on feature importanceCode1
Identification of mental fatigue in language comprehension tasks based on EEG and deep learning—0
Unsupervised low-rank representations for speech emotion recognition—0
Audio feature ranking for sound-based COVID-19 patient detection—0
A Hyperbolic-to-Hyperbolic Graph Convolutional Network—0
Process Outcome Prediction: CNN vs. LSTM (with Attention)—0
Quadratic GCN for Graph ClassificationCode0
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic InterferenceCode1
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified