SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4376–4400 of 14581 papers

TitleStatusHype
Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding—0
Cross-modal supervised learning for better acoustic representationsCode0
A Neural Network Based on the Johnson S_U Translation System and Related Application to Electromyogram Classification—0
Contrast Phase Classification with a Generative Adversarial Network—0
HUSE: Hierarchical Universal Semantic EmbeddingsCode0
Deep Learning for Over-the-Air Non-Orthogonal Signal Classification—0
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision—0
Copy-Move Forgery Classification via Unsupervised Domain Adaptation—0
Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQACode0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
Self-Supervised Learning For Few-Shot Image ClassificationCode0
Real-time Anomaly Detection and Classification in Streaming PMU Data—0
MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic MonitoringCode0
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer—0
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification—0
The phonetic bases of vocal expressed emotion: natural versus acted—0
Variable Star Classification Using Multi-View Metric Learning—0
Streaming Bayesian Inference for Crowdsourced Classification—0
LexiPers: An ontology based sentiment lexicon for PersianCode0
Image-Based Feature Representation for Insider Threat Classification—0
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning—0
A Smartphone-Based Skin Disease Classification Using MobileNet CNN—0
Adversarial Transformations for Semi-Supervised Learning—0
A Model of Double Descent for High-dimensional Binary Linear Classification—0
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features—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