SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 12101–12150 of 14581 papers

TitleStatusHype
Trainable Time Warping: Aligning Time-Series in the Continuous-Time DomainCode0
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiersCode0
Polynomial expansion of the binary classification functionCode0
What you can cram into a single vector: Probing sentence embeddings for linguistic propertiesCode0
Augmenting Deep Classifiers with Polynomial Neural NetworksCode0
Polyth-Net: Classification of Polythene Bags for Garbage Segregation Using Deep LearningCode0
Minimizing Close-k Aggregate Loss Improves ClassificationCode0
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty PredictionCode0
Saliency is a Possible Red Herring When Diagnosing Poor GeneralizationCode0
Using Filter Banks in Convolutional Neural Networks for Texture ClassificationCode0
Using Functional Schemas to Understand Social Media NarrativesCode0
Search and Rescue with Airborne Optical SectioningCode0
SPSA-FSR: Simultaneous Perturbation Stochastic Approximation for Feature Selection and RankingCode0
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve RobustnessCode0
Multilingual Twitter Sentiment Classification: The Role of Human AnnotatorsCode0
Training Binary Multilayer Neural Networks for Image Classification using Expectation BackpropagationCode0
Squeezed Very Deep Convolutional Neural Networks for Text ClassificationCode0
SqueezeFit: Label-aware dimensionality reduction by semidefinite programmingCode0
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream ClassificationCode0
Minimax Filter: Learning to Preserve Privacy from Inference AttacksCode0
Posterior Calibrated Training on Sentence Classification TasksCode0
The Data Challenge in Misinformation Detection: Source Reputation vs. Content VeracityCode0
Post-synaptic potential regularization has potentialCode0
Potential Anchoring for imbalanced data classificationCode0
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set SimilarityCode0
Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta MethodCode0
Neural Semantic EncodersCode0
Multilingual Multi-class Sentiment Classification Using Convolutional Neural NetworksCode0
Unified Framework for QuantificationCode0
Weakly Supervised Instance Segmentation using Class Peak ResponseCode0
SECTOR: A Neural Model for Coherent Topic Segmentation and ClassificationCode0
Training compact deep learning models for video classification using circulant matricesCode0
Locality Constraint Dictionary Learning with Support Vector for Pattern ClassificationCode0
PPD: Permutation Phase Defense Against Adversarial Examples in Deep LearningCode0
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target DefenseCode0
Stable and Fair ClassificationCode0
Neural NILM: Deep Neural Networks Applied to Energy DisaggregationCode0
Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital HumanitiesCode0
Neural Networks with Few MultiplicationsCode0
Neural Networks Regularization Through Class-wise Invariant Representation LearningCode0
MSE-Optimal Neural Network Initialization via Layer FusionCode0
Seeing into Darkness: Scotopic Visual RecognitionCode0
The Devil is in the Decoder: Classification, Regression and GANsCode0
Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical CodesCode0
Practical Text Classification With Large Pre-Trained Language ModelsCode0
Guided learning for weakly-labeled semi-supervised sound event detectionCode0
Stable prediction with radiomics dataCode0
Neural Networks for Joint Sentence Classification in Medical Paper AbstractsCode0
Precision and Recall for Time SeriesCode0
Seglearn: A Python Package for Learning Sequences and Time SeriesCode0
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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