SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8326–8350 of 14581 papers

TitleStatusHype
Understanding Meanings in Multilingual Customer Feedback—0
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on ClassificationCode0
State Classification with CNN—0
Informative Gene Selection for Microarray Classification via Adaptive Elastic Net with Conditional Mutual Information—0
Adapting Neural Text Classification for Improved Software CategorizationCode0
Infrared Safety of a Neural-Net Top Tagging Algorithm—0
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery—0
Factorized Adversarial Networks for Unsupervised Domain Adaptation—0
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy ImagesCode0
Recent advances and opportunities in scene classification of aerial images with deep models—0
Meta-Learner with Linear Nulling—0
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images—0
AID++: An Updated Version of AID on Scene Classification—0
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification—0
Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation—0
Second-Order Asymptotically Optimal Statistical Classification—0
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics—0
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units—0
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy ClassificationCode0
Scraping and Preprocessing Commercial Auction Data for Fraud Classification—0
Multi-Cell Detection and Classification Using a Generative Convolutional Model—0
Unsupervised Feature Learning via Non-Parametric Instance DiscriminationCode1
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep LearningCode0
Weakly Supervised Coupled Networks for Visual Sentiment AnalysisCode0
PointGrid: A Deep Network for 3D Shape UnderstandingCode0
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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