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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4751–4775 of 14581 papers

TitleStatusHype
Semi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs—0
Semi-supervised Gender Classification with Joint Textual and Social Modeling—0
Semi-Supervised Generation with Cluster-aware Generative Models—0
Semi-supervised Graph-based Genre Classification for Web Pages—0
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification—0
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding—0
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks—0
Semi-supervised learning—0
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach—0
Semi-Supervised Learning by Label Gradient Alignment—0
Semi-supervised Learning for COVID-19 Image Classification via ResNet—0
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining—0
Semi-Supervised Learning for Text Classification by Layer Partitioning—0
Semi-supervised learning method based on predefined evenly-distributed class centroids—0
Semi-supervised Learning of Fetal Anatomy from Ultrasound—0
Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders—0
Semi-Supervised Learning on Graphs Based on Local Label Distributions—0
Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed—0
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks—0
Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text Classification—0
Semi-supervised learning with Bidirectional GANs—0
Semi-supervised Learning with Constraints for Person Identification in Multimedia Data—0
Semi-supervised Learning with Explicit Relationship Regularization—0
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification—0
Semi-Supervised Learning with IPM-based GANs: an Empirical Study—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