SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6101–6125 of 14581 papers

TitleStatusHype
Universal Activation Function For Machine Learning—0
Universal adversarial examples in speech command classification—0
Universal Adversarial Perturbation for Text Classification—0
Beyond Universal Person Re-ID Attack—0
Universal Approximation Properties for an ODENet and a ResNet: Mathematical Analysis and Numerical Experiments—0
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces—0
Universal consistency and minimax rates for online Mondrian Forests—0
Universal Consistency of Multi-Class Support Vector Classification—0
Universal EEG Encoder for Learning Diverse Intelligent Tasks—0
Universal Language Model Fine-tuning for Patent Classification—0
Classifier-independent Lower-Bounds for Adversarial Robustness—0
Universally consistent vertex classification for latent positions graphs—0
Universal Rules for Fooling Deep Neural Networks based Text Classification—0
Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy—0
Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer—0
Unobserved classes and extra variables in high-dimensional discriminant analysis—0
Unrestricted Bridging Resolution—0
Unseen Action Recognition with Unpaired Adversarial Multimodal Learning—0
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces—0
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition—0
Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification—0
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification—0
Unsupervised Adversarial Invariance—0
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification—0
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation—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