SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4476–4500 of 14581 papers

TitleStatusHype
Learning Concepts Definable in First-Order Logic with Counting—0
Learning Confidence Sets using Support Vector Machines—0
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints—0
Learning Constellation Map with Deep CNN for Accurate Modulation Recognition—0
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks—0
Learning Cross-domain Generalizable Features by Representation Disentanglement—0
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images—0
Learning Deep Context-Network Architectures for Image Annotation—0
Learning Deep Convolutional Features for MRI Based Alzheimer's Disease Classification—0
Learning Deep Match Kernels for Image-Set Classification—0
Learning Deep Matrix Representations—0
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision—0
Learning Deep NBNN Representations for Robust Place Categorization—0
Learning Deep Representation for Imbalanced Classification—0
Learning Deep Representations with Probabilistic Knowledge Transfer—0
Learning Deep Temporal Representations for Brain Decoding—0
Learning degraded image classification with restoration data fidelity—0
Learning Dense Convolutional Embeddings for Semantic Segmentation—0
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks—0
Environmental Sound Classification with Parallel Temporal-spectral Attention—0
Learning Discriminative Features using Encoder-Decoder type Deep Neural Nets—0
Learning Discriminative Features via Label Consistent Neural Network—0
Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions—0
Learning Discriminative Latent Attributes for Zero-Shot Classification—0
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification—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