SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7776–7800 of 14581 papers

TitleStatusHype
On the dissection of degenerate cosmologies with machine learning—0
On the effectiveness of feature set augmentation using clusters of word embeddings—0
On the Effect of Suboptimal Estimation of Mutual Information in Feature Selection and Classification—0
On the Effect of Word Order on Cross-lingual Sentiment Analysis—0
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing—0
On the Efficient Minimization of Classification Calibrated Surrogates—0
On the equivalence between Kolmogorov-Smirnov and ROC curve metrics for binary classification—0
On the Equivalence between Online and Private Learnability beyond Binary Classification—0
On the Evaluation of Dialogue Systems with Next Utterance Classification—0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
On the exact minimization of saturated loss functions for robust regression and subspace estimation—0
On-the-Fly Joint Feature Selection and Classification—0
On the generalization of bayesian deep nets for multi-class classification—0
On the Generalization of the C-Bound to Structured Output Ensemble Methods—0
On the Hardness of Robust Classification—0
On the Importance of 3D Surface Information for Remote Sensing Classification Tasks—0
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification—0
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units—0
On the importance of normative data in speech-based assessment—0
An Optimization and Generalization Analysis for Max-Pooling Networks—0
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment—0
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting—0
On the Learning Dynamics of Deep Neural Networks—0
On the Modeling of Error Functions as High Dimensional Landscapes for Weight Initialization in Learning Networks—0
On the Optimality of Classifier Chain for Multi-label Classification—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
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