SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5951–5975 of 14581 papers

TitleStatusHype
Tree Ensembles with Rule Structured Horseshoe Regularization—0
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations—0
Tree Quantization for Large-Scale Similarity Search and Classification—0
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees—0
Tree-structured multi-stage principal component analysis (TMPCA): theory and applications—0
ForestDSH: A Universal Hash Design for Discrete Probability Distributions—0
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification—0
Triad State Space Construction for Chaotic Signal Classification with Deep Learning—0
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões—0
Tri Automatique de la Litt\'erature pour les Revues Syst\'ematiques (Automatically Ranking the Literature in Support of Systematic Reviews)—0
Tri-axial Self-Attention for Concurrent Activity Recognition—0
TripletGAN: Training Generative Model with Triplet Loss—0
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes—0
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning—0
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach—0
TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis—0
TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks—0
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers—0
Tucker Decomposition Network: Expressive Power and Comparison—0
T\"uKaSt at SemEval-2019 Task 6: Something Old, Something Neu(ral): Traditional and Neural Approaches to Offensive Text Classification—0
Tumor Classification and Segmentation of MR Brain Images—0
Tunable GMM Kernels—0
TUNet: Incorporating segmentation maps to improve classification—0
Tuning parameter calibration for _1-regularized logistic regression—0
Turkish Text Classification: From Lexicon Analysis to Bidirectional Transformer—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