SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7501–7525 of 14581 papers

TitleStatusHype
Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods—0
Learning Personas from Dialogue with Attentive Memory Networks—0
Super-pixel cloud detection using Hierarchical Fusion CNN—0
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New ExperimentsCode0
Mobile Sound Recognition for the Deaf and Hard of Hearing—0
Taking Advantage of Multitask Learning for Fair Classification—0
Understanding Deep Convolutional Networks through Gestalt Theory—0
ScratchDet: Training Single-Shot Object Detectors from ScratchCode0
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer—0
Exploring Adversarial Examples in Malware Detection—0
Good Initializations of Variational Bayes for Deep Models—0
HierLPR: Decision making in hierarchical multi-label classification with local precision rates—0
Contextual Topic Modeling For Dialog Systems—0
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation—0
Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network—0
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?—0
Subword Semantic Hashing for Intent Classification on Small DatasetsCode0
Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification—0
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers—0
Rotational 3D Texture Classification Using Group Equivariant CNNs—0
Named Entity Analysis and Extraction with Uncommon Words—0
Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions—0
Incremental Few-Shot Learning with Attention Attractor NetworksCode0
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions—0
INFODENS: An Open-source Framework for Learning Text RepresentationsCode0
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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