SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1426–1450 of 14581 papers

TitleStatusHype
Accelerating Deep Learning with Shrinkage and Recall—0
A Helping Hand: Transfer Learning for Deep Sentiment Analysis—0
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers—0
A Health Monitoring System for Elder and Sick Persons—0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials—0
Active Learning for Cost-Sensitive Classification—0
Accelerating Deep Learning with Millions of Classes—0
Tag-based Semantic Features for Scene Image Classification—0
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
Active learning for binary classification with variable selection—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
A Hackathon for Classical Tibetan—0
Accelerating Deep Convolutional Networks using low-precision and sparsity—0
A Guided Spatial Transformer Network for Histology Cell Differentiation—0
Active Learning Applied to Patient-Adaptive Heartbeat Classification—0
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface—0
Active Learning and Proofreading for Delineation of Curvilinear Structures—0
Accelerated Training for Massive Classification via Dynamic Class Selection—0
Classification in asymmetric spaces via sample compression—0
TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification—0
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease—0
Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems—0
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding—0
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training—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