SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3351–3400 of 14581 papers

TitleStatusHype
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set SimilarityCode0
Membership Inference Attacks and Defenses in Classification ModelsCode1
Fake Review Detection Using Behavioral and Contextual FeaturesCode0
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes—0
Rethinking the Route Towards Weakly Supervised Object LocalizationCode1
Streaming Active Deep Forest for Evolving Data Stream Classification—0
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlowCode0
Nonlinear classifiers for ranking problems based on kernelized SVMCode0
Assignment Flows for Data Labeling on Graphs: Convergence and Stability—0
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras—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
The role of regularization in classification of high-dimensional noisy Gaussian mixture—0
Diversity-Based Generalization for Unsupervised Text Classification under Domain ShiftCode0
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
A General Method for Robust Learning from Batches—0
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors—0
General Framework for Binary Classification on Top Samples—0
Label-guided Learning for Text Classification—0
Missing Data Imputation for Classification Problems—0
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization—0
PointAugment: an Auto-Augmentation Framework for Point Cloud ClassificationCode1
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—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
Using Distributional Thesaurus Embedding for Co-hyponymy Detection—0
Improving STDP-based Visual Feature Learning with Whitening—0
Using Wavelets to Analyze Similarities in Image-Classification DatasetsCode0
Self-Adaptive Training: beyond Empirical Risk MinimizationCode1
Learning Attentive Pairwise Interaction for Fine-Grained ClassificationCode1
Scheduled Restart Momentum for Accelerated Stochastic Gradient DescentCode1
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classificationCode1
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique—0
Sketchformer: Transformer-based Representation for Sketched StructureCode1
On the generalization of bayesian deep nets for multi-class classification—0
PoET-BiN: Power Efficient Tiny Binary Neurons—0
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance—0
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification—0
An Optimization and Generalization Analysis for Max-Pooling Networks—0
Optimistic bounds for multi-output prediction—0
Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural NetworkCode1
One-Class Graph Neural Networks for Anomaly Detection in Attributed NetworksCode1
Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification—0
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks—0
Adaptive Covariate Acquisition for Minimizing Total Cost of ClassificationCode0
Sparsity in Optimal Randomized Classification Trees—0
Learning Optimal Classification Trees: Strong Max-Flow Formulations—0
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes—0
A Multiclass Classification Approach to Label Ranking—0
A survey on Semi-, Self- and Unsupervised Learning for Image Classification—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