SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10801–10825 of 14581 papers

TitleStatusHype
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework—0
General Quantum Hilbert Space Modeling Scheme for Entanglement—0
General Stochastic Networks for Classification—0
General Supervision via Probabilistic Transformations—0
Generating Adversarial Perturbation with Root Mean Square Gradient—0
Generating an Explainable ECG Beat Space With Variational Auto-Encoders—0
Generating a Training Dataset for Land Cover Classification to Advance Global Development—0
Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform—0
Generating Counterfactual Explanations with Natural Language—0
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models—0
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification—0
Generating superpixels using deep image representations—0
Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources—0
Generating Videos with Scene Dynamics—0
Generating Visual Explanations—0
Generating Visual Representations for Zero-Shot Classification—0
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings—0
Generation For Adaption: A GAN-Based Approach for 3D Domain Adaption with Point Cloud Data—0
Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset—0
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm—0
Generation of Differentially Private Heterogeneous Electronic Health Records—0
Generative Adversarial Classifier for Handwriting Characters Super-Resolution—0
Generative Adversarial Models for People Attribute Recognition in Surveillance—0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image 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