SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2451–2475 of 14581 papers

TitleStatusHype
Attentive Feature Reuse for Multi Task Meta learning—0
Fast Maximum Likelihood Estimation and Supervised Classification for the Beta-Liouville Multinomial—0
BI-MAML: Balanced Incremental Approach for Meta Learning—0
Federated and continual learning for classification tasks in a society of devices—0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach—0
Online Metric Learning for Multi-Label Classification—0
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains—0
Generalized SHAP: Generating multiple types of explanations in machine learning—0
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification TasksCode0
Robust Baggage Detection and Classification Based on Local Tri-directional Pattern—0
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech—0
Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing—0
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification—0
Discrete Latent Variable Representations for Low-Resource Text ClassificationCode1
Pairwise Supervision Can Provably Elicit a Decision Boundary—0
To Each Optimizer a Norm, To Each Norm its Generalization—0
Improved Design of Quadratic Discriminant Analysis Classifier in Unbalanced Settings—0
Data Augmentation for Graph Neural NetworksCode1
Is deep learning necessary for simple classification tasks?Code3
Privacy-Aware Activity Classification from First Person Office Videos—0
VirTex: Learning Visual Representations from Textual AnnotationsCode1
Achieving robustness in classification using optimal transport with hinge regularizationCode1
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks—0
On mistakes we made in prior Computational Psychiatry Data driven approach projects and how they jeopardize translation of those findings in clinical practice—0
Directional convergence and alignment in deep learning—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