SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7126–7150 of 14581 papers

TitleStatusHype
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT—0
Exploring the Naturalness of Buggy Code with Recurrent Neural Networks—0
Exploring the significance of using perceptually relevant image decolorization method for scene classification—0
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit—0
Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit—0
Exploring the Use of Text Classification in the Legal Domain—0
Exploring time-series motifs through DTW-SOM—0
Exploring Vector Spaces for Semantic Relations—0
Exponential convergence of testing error for stochastic gradient methods—0
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features—0
Exponential Savings in Agnostic Active Learning through Abstention—0
Exponentiated Gradient Exploration for Active Learning—0
Exposing GAN-synthesized Faces Using Landmark Locations—0
Extended and Unscented Gaussian Processes—0
Extended Grassmann Kernels for Subspace-Based Learning—0
Extended Particle Swarm Optimization (EPSO) for Feature Selection of High Dimensional Biomedical Data—0
Extended pipeline for content-based feature engineering in music genre recognition—0
Extended Target Tracking and Classification Using Neural Networks—0
Extending machine learning classification capabilities with histogram reweighting—0
Extend natural neighbor: a novel classification method with self-adaptive neighborhood parameters in different stages—0
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses—0
Extracting Causal Visual Features for Limited label Classification—0
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities—0
Extracting dispersion curves from ambient noise correlations using deep learning—0
Extracting Drug-Drug Interactions with Attention CNNs—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