SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6276–6300 of 14581 papers

TitleStatusHype
Activation Atlas—0
Automatic Classification of Pathology Reports using TF-IDF Features—0
Convex Covariate Clustering for ClassificationCode0
Limitations of Pinned AUC for Measuring Unintended Bias—0
Statistical Guarantees for the Robustness of Bayesian Neural NetworksCode0
Virtual Ground Truth, and Pre-selection of 3D Interest Points for Improved Repeatability Evaluation of 2D Detectors—0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
Deep learning based pulse shape discrimination for germanium detectors—0
Binary Classifier Inspired by Quantum Theory—0
A Fundamental Performance Limitation for Adversarial Classification—0
Joint segmentation and classification of retinal arteries/veins from fundus images—0
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs—0
Active Authentication using an Autoencoder regularized CNN-based One-Class ClassifierCode0
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer—0
Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition—0
Predicting Algorithm Classes for Programming Word Problems—0
Classification via local manifold approximationCode0
Towards NLP with Deep Learning: Convolutional Neural Networks and Recurrent Neural Networks for Offensive Language Identification in Social Media—0
Spatio-Temporal Vegetation Pixel Classification By Using Convolutional NetworksCode0
FRI -- Feature Relevance Intervals for Interpretable and Interactive Data Exploration—0
Large Scale Product Categorization using Structured and Unstructured Attributes—0
TrojDRL: Trojan Attacks on Deep Reinforcement Learning AgentsCode0
Mask Scoring R-CNNCode0
Lung CT Imaging Sign Classification through Deep Learning on Small Data—0
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention—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