SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3351–3375 of 14581 papers

TitleStatusHype
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set SimilarityCode0
Complexity Measures and Features for Times Series classification—0
Fake Review Detection Using Behavioral and Contextual FeaturesCode0
Rethinking the Route Towards Weakly Supervised Object LocalizationCode1
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes—0
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlowCode0
Streaming Active Deep Forest for Evolving Data Stream Classification—0
Nonlinear classifiers for ranking problems based on kernelized SVMCode0
Assignment Flows for Data Labeling on Graphs: Convergence and Stability—0
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras—0
The role of regularization in classification of high-dimensional noisy Gaussian mixture—0
General Framework for Binary Classification on Top Samples—0
Missing Data Imputation for Classification Problems—0
A General Method for Robust Learning from Batches—0
Label-guided Learning for Text Classification—0
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors—0
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—0
PointAugment: an Auto-Augmentation Framework for Point Cloud ClassificationCode1
Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank—0
Diversity-Based Generalization for Unsupervised Text Classification under Domain ShiftCode0
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization—0
MAGNET: Multi-Label Text Classification using Attention-based Graph Neural NetworkCode1
End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label ClassificationCode1
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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