SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3026–3050 of 14581 papers

TitleStatusHype
Classification and Recognition of Encrypted EEG Data Neural Network—0
Robust Locality-Aware Regression for Labeled Data Classification—0
Balance is key: Private median splits yield high-utility random trees—0
Classifying degraded images over various levels of degradation—0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification—0
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data—0
Road Mapping in Low Data Environments with OpenStreetMap—0
Explicitly Modeled Attention Maps for Image Classification—0
Meta Approach to Data Augmentation Optimization—0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network—0
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification—0
A Deep Neural Network for Audio Classification with a Classifier Attention Mechanism—0
Multiclass Disease Predictions Based on Integrated Clinical and Genomics Datasets—0
Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face Recognition—0
Reinforcement Learning as Iterative and Amortised Inference—0
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction—0
Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks—0
Attentive Feature Reuse for Multi Task Meta learning—0
Fast Maximum Likelihood Estimation and Supervised Classification for the Beta-Liouville Multinomial—0
Federated and continual learning for classification tasks in a society of devices—0
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech—0
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains—0
Online Metric Learning for Multi-Label Classification—0
Generalized SHAP: Generating multiple types of explanations in machine learning—0
BI-MAML: Balanced Incremental Approach for Meta 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