SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4576–4600 of 14581 papers

TitleStatusHype
Learning Optimal Deep Projection of ^18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes—0
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data—0
Learning Personas from Dialogue with Attentive Memory Networks—0
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification—0
Learning rates for classification with Gaussian kernels—0
Learning Receptive Fields for Pooling from Tensors of Feature Response—0
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums—0
Learning Relevant Features of Data with Multi-scale Tensor Networks—0
Learning Representations for Faster Similarity Search—0
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders—0
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle—0
Learning representations for sentiment classification using Multi-task framework—0
Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks—0
Learning Representations of Missing Data for Predicting Patient Outcomes—0
Learning Robust Representations for Automatic Target Recognition—0
Learning Robust, Transferable Sentence Representations for Text Classification—0
Learning Rules-First Classifiers—0
Learning Salient Samples and Distributed Representations for Topic-Based Chinese Message Polarity Classification—0
Learning Sampling Policies for Domain Adaptation—0
Learning scale-variant and scale-invariant features for deep image classification—0
Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis—0
Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification—0
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification—0
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification—0
Learning Sentence Representations over Tree Structures for Target-Dependent 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