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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 301–325 of 14581 papers

TitleStatusHype
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian ProcessesCode1
A Universal Representation Transformer Layer for Few-Shot Image ClassificationCode1
An Amharic News Text classification DatasetCode1
Automatic sleep stage classification with deep residual networks in a mixed-cohort settingCode1
A Variational Algorithm for Quantum Neural NetworksCode1
A Weakly Supervised Convolutional Network for Change Segmentation and ClassificationCode1
An Adversarial Approach for the Robust Classification of Pneumonia from Chest RadiographsCode1
An Empirical Analysis of Image-Based Learning Techniques for Malware ClassificationCode1
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image ClassificationCode1
Bag of Tricks for Efficient Text ClassificationCode1
Balanced Meta-Softmax for Long-Tailed Visual RecognitionCode1
Barlow Twins: Self-Supervised Learning via Redundancy ReductionCode1
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG ClassificationCode1
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian ProcessesCode1
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
A Machine Learning Benchmark for Facies ClassificationCode1
An Empirical Study of Example Forgetting during Deep Neural Network LearningCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
Bilinear Graph Neural Network with Neighbor InteractionsCode1
Billion-scale semi-supervised learning for image classificationCode1
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature LearningCode1
Towards More Practical Adversarial Attacks on Graph Neural NetworksCode1
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest RadiographsCode1
Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude CouplingCode1
A kernel-based quantum random forest for improved 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