SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3976–4000 of 14581 papers

TitleStatusHype
CTSys at SemEval-2018 Task 3: Irony in Tweets—0
CubeNet: Equivariance to 3D Rotation and Translation—0
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification—0
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors—0
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network—0
Cultural Event Recognition with Visual ConvNets and Temporal Models—0
CUNet: A Compact Unsupervised Network for Image Classification—0
CURE Dataset: Ladder Networks for Audio Event Classification—0
CURL: Co-trained Unsupervised Representation Learning for Image Classification—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Curriculum Learning for Multi-Task Classification of Visual Attributes—0
Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification—0
A Tutorial on Deep Neural Networks for Intelligent Systems—0
Binary classification with ambiguous training data—0
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)—0
A Tutorial on Online Supervised Learning with Applications to Node Classification in Social Networks—0
Cyber-aggression Detection using Cross Segment-and-Concatenate Multi-Task Learning from Text—0
Cyberbullying Intervention Based on Convolutional Neural Networks—0
Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss—0
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks—0
Cyber Threat Intelligence for Secure Smart City—0
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates—0
Binary Classification Tests, Imperfect Standards, and Ambiguous Information—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