SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1926–1950 of 14581 papers

TitleStatusHype
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its framesCode0
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening—0
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning—0
Label-Wise Document Pre-Training for Multi-Label Text ClassificationCode0
Adversarial Filters for Secure Modulation Classification—0
ECG beats classification via online sparse dictionary and time pyramid matchingCode0
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty—0
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification—0
A New Perspective on Pool-Based Active Classification and False-Discovery Control—0
Feature Selection Methods for Cost-Constrained Classification in Random Forests—0
A Multimodal Late Fusion Model for E-Commerce Product Classification—0
Image Processing Tools for Financial Time Series Classification—0
Metrics for Multi-Class Classification: an Overview—0
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationCode1
Single-Photon Image Classification—0
Polyth-Net: Classification of Polythene Bags for Garbage Segregation Using Deep LearningCode0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation—0
Mitigating Dataset Imbalance via Joint Generation and ClassificationCode0
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery ClassificationCode1
Quaternion Graph Neural NetworksCode1
Text Classification based on Multi-granularity Attention Hybrid Neural Network—0
Model Robustness with Text Classification: Semantic-preserving adversarial attacks—0
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations—0
Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features—0
Decoding kinetic features of hand motor preparation from single‐trial EEG using convolutional neural networksCode0
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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