SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4301–4325 of 14581 papers

TitleStatusHype
Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory—0
Question Classification with Deep Contextualized TransformerCode0
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning—0
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image ClassificationCode0
Detecting intracranial aneurysm rupture from 3D surfaces using a novel GraphNet approach—0
Cross Attention Network for Few-shot ClassificationCode0
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research—0
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics—0
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks—0
Electro-Magnetic Side-Channel Attack Through Learned Denoising and ClassificationCode0
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub RepositoriesCode1
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationCode0
Active Learning for Graph Neural Networks via Node Feature Propagation—0
Contextual Joint Factor Acoustic Embeddings—0
Conditional Learning of Fair Representations—0
Notes on Margin Training and Margin p-Values for Deep Neural Network Classifiers—0
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design—0
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution—0
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks—0
RiWalk: Fast Structural Node Embedding via Role IdentificationCode0
VFNet: A Convolutional Architecture for Accent Classification—0
Learning Classifiers on Positive and Unlabeled Data with Policy GradientCode0
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI—0
Temporal Graph Kernels for Classifying Dissemination Processes—0
Interpretable Text Classification Using CNN and Max-pooling—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