SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10976–11000 of 14581 papers

TitleStatusHype
Greedy Active Learning Algorithm for Logistic Regression Models—0
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data—0
GRIFT: A graphical model for inferring visual classification features from human data—0
Learning Strategy-Aware Linear Classifiers—0
Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification—0
Grounding Visual Explanations—0
Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data—0
Group Based Deep Shared Feature Learning for Fine-grained Image Classification—0
Grouping-By-ID: Guarding Against Adversarial Domain Shifts—0
Group Preserving Label Embedding for Multi-Label Classification—0
Group Sparse Additive Machine—0
Group Sparse CNNs for Question Classification with Answer Sets—0
Group Sparse Coding—0
Group Visual Sentiment Analysis—0
Group-wise classification approach to improve Android malicious apps detection accuracy—0
Growing Regression Forests by Classification: Applications to Object Pose Estimation—0
Guaranteed Classification via Regularized Similarity Learning—0
GuCNet: A Guided Clustering-based Network for Improved Classification—0
Guided Variational Autoencoder for Disentanglement Learning—0
Guided Zoom: Questioning Network Evidence for Fine-grained Classification—0
GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media—0
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus—0
Fast Haar Transforms for Graph Neural Networks—0
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification—0
Half-CNN: A General Framework for Whole-Image Regression—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified