SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4626–4650 of 14581 papers

TitleStatusHype
FewRel 2.0: Towards More Challenging Few-Shot Relation ClassificationCode0
Conditional Learning of Fair Representations—0
Active Learning for Graph Neural Networks via Node Feature Propagation—0
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
VFNet: A Convolutional Architecture for Accent Classification—0
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks—0
RiWalk: Fast Structural Node Embedding via Role IdentificationCode0
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution—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
Learning Classifiers on Positive and Unlabeled Data with Policy GradientCode0
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI—0
Acoustic Scene Classification Based on a Large-margin Factorized CNN—0
Interpretable Text Classification Using CNN and Max-pooling—0
Adaptive Transfer Learning of Multi-View Time Series Classification—0
Building Information Modeling and Classification by Visual Learning At A City Scale—0
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification—0
Manifold Embedded Knowledge Transfer for Brain-Computer InterfacesCode0
STANCY: Stance Classification Based on Consistency CuesCode0
Temporal Graph Kernels for Classifying Dissemination Processes—0
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT—0
Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification—0
Discovering a sparse set of pairwise discriminating features in high dimensional dataCode0
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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