SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4551–4600 of 14581 papers

TitleStatusHype
Differentially Private Meta-Learning—0
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting—0
Aggregated Hold-Out—0
InceptionTime: Finding AlexNet for Time Series ClassificationCode1
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators—0
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila—0
Factorized MultiClass Boosting—0
Multi-Year Vector Dynamic Time Warping Based Crop Mapping—0
Is Heuristic Sampling Necessary in Training Deep Object Detectors?Code0
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction—0
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning—0
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults—0
Effectiveness of Adversarial Examples and Defenses for Malware Classification—0
Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation—0
Spam filtering on forums: A synthetic oversampling based approach for imbalanced data classification—0
SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning—0
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification—0
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization—0
Photometric light curves classification with machine learning—0
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale—0
RefineFace: Refinement Neural Network for High Performance Face Detection—0
Deep Learning for Automated Classification and Characterization of Amorphous Materials—0
Classifying the Valence of Autobiographical Memories from fMRI Data—0
A Classification Methodology based on Subspace Graphs Learning—0
DaTscan SPECT Image Classification for Parkinson's Disease—0
Detection and Classification of Breast Cancer Metastates Based on U-Net—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
Adversarial Policy Gradient for Deep Learning Image AugmentationCode1
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification—0
Pretrained Language Models for Sequential Sentence ClassificationCode0
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion—0
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation ClassificationCode0
Learning Fair Rule ListsCode0
Latent Multi-view Semi-Supervised ClassificationCode0
Learning Concepts Definable in First-Order Logic with Counting—0
Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata—0
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural NetworksCode0
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional NetworksCode0
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyCode0
Order-free Learning Alleviating Exposure Bias in Multi-label ClassificationCode0
Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language ModelsCode0
Transformer to CNN: Label-scarce distillation for efficient text classification—0
Self-paced Ensemble for Highly Imbalanced Massive Data ClassificationCode1
Student Performance Prediction with Optimum Multilabel Ensemble Model—0
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations—0
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar ClassificationCode0
Supervised Multimodal Bitransformers for Classifying Images and TextCode1
Restricted Minimum Error Entropy Criterion for Robust Classification—0
NEAR: Neighborhood Edge AggregatoR for Graph Classification—0
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text ClassificationCode0
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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