SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2351–2375 of 14581 papers

TitleStatusHype
Projective Latent Interventions for Understanding and Fine-tuning ClassifiersCode0
Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels—0
Graph Prototypical Networks for Few-shot Learning on Attributed NetworksCode1
MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognitionCode0
DCNNs: A Transfer Learning comparison of Full Weapon Family threat detection for Dual-Energy X-Ray Baggage Imagery—0
Adversarial Robustness of Deep Sensor Fusion Models—0
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection—0
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via ClusteringCode1
Learning Gradient Boosted Multi-label Classification RulesCode1
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification—0
Using Company Specific Headlines and Convolutional Neural Networks to Predict Stock Fluctuations—0
Graph Neural Networks in TensorFlow and Keras with SpektralCode2
Classification with Quantum Machine Learning: A Survey—0
ELF: An Early-Exiting Framework for Long-Tailed Classification—0
A Self-Attention Network based Node Embedding ModelCode1
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AIDCode1
Wavelet Classification for Over-the-Air Non-Orthogonal Waveforms—0
A Universal Representation Transformer Layer for Few-Shot Image ClassificationCode1
The classification for High-dimension low-sample size data—0
Patch Based Classification of Remote Sensing Data: A Comparison of 2D-CNN, SVM and NN Classifiers—0
Graph BackdoorCode1
Classification Under Human AssistanceCode0
On Aggregation in Ensembles of Multilabel Classifiers—0
A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network—0
Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers—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