SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10526–10550 of 14581 papers

TitleStatusHype
Zero-Shot Classification With Discriminative Semantic Representation Learning—0
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition—0
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning—0
Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion—0
Variation Autoencoder Based Network Representation Learning for Classification—0
Topical Coherence in LDA-based Models through Induced SegmentationCode0
Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification—0
Multiple VLAD encoding of CNNs for image classification—0
Rule-Mining based classification: a benchmark studyCode0
Penalizing Unfairness in Binary ClassificationCode0
Preference-based performance measures for Time-Domain Global Similarity method—0
Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services—0
Automated Audio Captioning with Recurrent Neural Networks—0
Improvement of training set structure in fusion data cleaning using Time-Domain Global Similarity method—0
Feature uncertainty bounding schemes for large robust nonlinear SVM classifiers—0
Data-dependent Generalization Bounds for Multi-class Classification—0
CS591 Report: Application of siamesa network in 2D transformation—0
Image classification using local tensor singular value decompositions—0
Graph Convolution: A High-Order and Adaptive Approach—0
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images—0
Summarization of ICU Patient Motion from Multimodal Multiview Videos—0
Real-time Distracted Driver Posture Classification—0
The YouTube-8M Kaggle Competition: Challenges and MethodsCode0
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning—0
CatBoost: unbiased boosting with categorical featuresCode0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

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