SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6926–6950 of 14581 papers

TitleStatusHype
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data—0
Microblog Emotion Classification by Computing Similarity in Text, Time, and Space—0
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches—0
Microphone Array Based Surveillance Audio Classification—0
Microscopic fine-grained instance classification through deep attention—0
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches—0
MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit—0
MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data—0
Mimicking Ensemble Learning with Deep Branched Networks—0
Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification—0
Mind the Nuisance: Gaussian Process Classification using Privileged Noise—0
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages—0
MineriaUNAM at SemEval-2019 Task 5: Detecting Hate Speech in Twitter using Multiple Features in a Combinatorial Framework—0
Mini-batch graphs for robust image classification—0
Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns—0
Minimally Supervised Feature Selection for Classification (Master's Thesis, University Politehnica of Bucharest)—0
Minimal Perceptrons for Memorizing Complex Patterns—0
Minimal spiking neuron for solving multi-label classification tasks—0
Minimal Support Vector Machine—0
Minimax Lower Bounds for Cost Sensitive Classification—0
Minimax Lower Bounds for Realizable Transductive Classification—0
Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression—0
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours—0
Minimax risk classifiers with 0-1 loss—0
Minimizing Supervision in Multi-label Categorization—0
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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