SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 2176–2200 of 14581 papers

TitleStatusHype
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification—0
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification—0
META: Metadata-Empowered Weak Supervision for Text ClassificationCode0
A Study of Image Pre-processing for Faster Object Recognition—0
Fair Classification with Group-Dependent Label NoiseCode0
Strongly universally consistent nonparametric regression and classification with privatised data—0
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification—0
Linear Classifiers that Encourage Constructive Adaptation—0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification—0
Classifying Malware Images with Convolutional Neural Network Models—0
Integer Programming-based Error-Correcting Output Code Design for Robust Classification—0
C-Net: A Reliable Convolutional Neural Network for Biomedical Image ClassificationCode0
Measure Inducing Classification and Regression Trees for Functional Data—0
Why Do Better Loss Functions Lead to Less Transferable Features?—0
HyperText: Endowing FastText with Hyperbolic GeometryCode0
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification—0
An Uncertainty Estimation Framework for Risk Assessment in Deep Learning-based Atrial Fibrillation Classification—0
Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures—0
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation LearningCode0
Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides—0
On the Impact of Communities on Semi-supervised Classification Using Graph Neural NetworksCode0
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients—0
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification—0
Robustifying Binary Classification to Adversarial Perturbation—0
Speech-Image Semantic Alignment Does Not Depend on Any Prior Classification Tasks—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