SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11451–11475 of 14581 papers

TitleStatusHype
Improving filling level classification with adversarial training—0
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets—0
Improving fraud prediction with incremental data balancing technique for massive data streams—0
Improving Generalized Zero-Shot Learning by Semantic Discriminator—0
Improving Hierarchical Adversarial Robustness of Deep Neural Networks—0
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network—0
Improving Human Action Recognition by Non-action Classification—0
Improving Human Needs Categorization of Events with Semantic Classification—0
Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning—0
Improving Image Classification with Location Context—0
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph—0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings—0
Improving Information Extraction from Images with Learned Semantic Models—0
Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition—0
Improving Intent Classification in an E-commerce Voice Assistant by Using Inter-Utterance Context—0
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations—0
Improving K-Nearest Neighbor Efficacy for Farsi Text Classification—0
Improving LBP and its variants using anisotropic diffusion—0
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds—0
Improving localization-based approaches for breast cancer screening exam classification—0
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition—0
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling—0
Improving machine classification using human uncertainty measurements—0
Improving Machine Reading Comprehension via Adversarial Training—0
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation—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