SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 401450 of 14581 papers

TitleStatusHype
Domain Generalization for Medical Imaging Classification with Linear-Dependency RegularizationCode1
Conditional Positional Encodings for Vision TransformersCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningCode1
Anonymous Walk EmbeddingsCode1
Dynamic Few-Shot Visual Learning without ForgettingCode1
ECG arrhythmia classification using a 2-D convolutional neural networkCode1
A Data Set and a Convolutional Model for Iconography Classification in PaintingsCode1
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery ClassificationCode1
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine InterfacesCode1
Efficient Deep Learning of Non-local Features for Hyperspectral Image ClassificationCode1
Efficient Graph Deep Learning in TensorFlow with tf_geometricCode1
An Unsupervised Autoregressive Model for Speech Representation LearningCode1
Efficient Pipeline for Camera Trap Image ReviewCode1
A pipeline for fair comparison of graph neural networks in node classification tasksCode1
AP-Loss for Accurate One-Stage Object DetectionCode1
Active Learning for BERT: An Empirical StudyCode1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
End-to-End Lane Marker Detection via Row-wise ClassificationCode1
Active Learning for Deep Object Detection via Probabilistic ModelingCode1
End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label ClassificationCode1
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal ClassificationCode1
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftCode1
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed TextCode1
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear ModelsCode1
EPNet: Enhancing Point Features with Image Semantics for 3D Object DetectionCode1
Establishing Baselines for Text Classification in Low-Resource LanguagesCode1
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationCode1
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionCode1
Evaluating surgical skills from kinematic data using convolutional neural networksCode1
EXACT: How to Train Your AccuracyCode1
Training Normalizing Flows with the Information Bottleneck for Competitive Generative ClassificationCode1
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time IntervalsCode1
Are These Birds Similar: Learning Branched Networks for Fine-grained RepresentationsCode1
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent NegativesCode1
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language InferenceCode1
Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural NetworkCode1
Exploiting Unsupervised Data for Emotion Recognition in ConversationsCode1
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking TestbedCode1
Fair and Optimal Classification via Post-ProcessingCode1
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute InformationCode1
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate MistreatmentCode1
Accumulated Polar Feature-based Deep Learning for Efficient and Lightweight Automatic Modulation Classification with Channel Compensation MechanismCode1
A Self-Attention Network based Node Embedding ModelCode1
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-ConsistencyCode1
A Self-supervised Approach for Adversarial RobustnessCode1
FaultNet: A Deep Convolutional Neural Network for bearing fault classificationCode1
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer InterfaceCode1
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)Code1
Bag of Tricks for Node Classification with Graph Neural NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1Unverified
2RFAccuracy92.96Unverified
3CARTAccuracy92.82Unverified
4LDAAccuracy77.22Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified
2XBNETAccuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified