SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 2901–2950 of 14581 papers

TitleStatusHype
An ensemble learning framework based on group decision making—0
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification—0
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling—0
Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades—0
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling—0
Hierarchy-Aware Global Model for Hierarchical Text Classification—0
Returning the N to NLP: Towards Contextually Personalized Classification Models—0
``None of the Above'': Measure Uncertainty in Dialog Response Retrieval—0
Private Speech Classification with Secure Multiparty Computation—0
Corpus based Amharic sentiment lexicon generation—0
Making Use of NXt to Nothing: The Effect of Class Imbalances on DGA Detection Classifiers—0
Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment—0
A Simple Domain Shifting Networkfor Generating Low Quality ImagesCode0
Classification Confidence Estimation with Test-Time Data-Augmentation—0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer—0
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification—0
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification—0
Multichannel CNN with Attention for Text Classification—0
Probabilistic Classification Vector Machine for Multi-Class Classification—0
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification—0
Classification of cancer pathology reports: a large-scale comparative studyCode0
Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa—0
Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification ProblemsCode0
Conditional Classification: A Solution for Computational Energy Reduction—0
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task—0
Combine Convolution with Recurrent Networks for Text Classification—0
Fast Training of Deep Networks with One-Class CNNs—0
Frequency learning for image classification—0
Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method—0
K-Nearest Neighbour and Support Vector Machine Hybrid Classification—0
VPNet: Variable Projection Networks—0
Performing Image Classification for 10 Different Monkey Species using CNN—0
Digit Image Recognition Using an Ensemble of One-Versus-All Deep Network Classifiers—0
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image ClassificationCode0
Uncertainty-aware Self-training for Text Classification with Few Labels—0
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification—0
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream ClassificationCode0
Multi-element microscope optimization by a learned sensing network with composite physical layers—0
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification—0
Covariance-engaged Classification of Sets via Linear Programming—0
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification—0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
Biologically Plausible Learning of Text Representation with Spiking Neural Networks—0
End-to-end training of deep kernel map networks for image classification—0
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung—0
High-Dimensional Quadratic Discriminant Analysis under Spiked Covariance Model—0
Adaptive additive classification-based loss for deep metric learning—0
Scalable Data Classification for Security and Privacy—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