SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6601–6625 of 14581 papers

TitleStatusHype
Pragmatic classification of movement primitives for stroke rehabilitation—0
Towards end-to-end pulsed eddy current classification and regression with CNN—0
Learning about an exponential amount of conditional distributionsCode0
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-TimeCode0
Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems—0
Bayesian Anomaly Detection and Classification—0
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder—0
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations—0
Diversity of Ensembles for Data Stream Classification—0
Adversarial Attacks on Graph Neural Networks via Meta LearningCode0
Deep Short Text Classification with Knowledge Powered AttentionCode0
Deep Discriminative Representation Learning with Attention Map for Scene Classification—0
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset—0
Reduced-Rank Local Distance Metric Learning for k-NN Classification—0
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelinesCode0
Web Links Prediction And Category-Wise Recommendation Based On Browser HistoryCode0
Stable and Fair ClassificationCode0
ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNNCode0
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image ClassifiersCode0
Mexican Hat Wavelet Kernel ELM for Multiclass Classification—0
Long-Bone Fracture Detection using Artificial Neural Networks based on Line Features of X-ray Images—0
Learning Sparse Neural Networks via _0 and T_1 by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification—0
Graph Adversarial Training: Dynamically Regularizing Based on Graph StructureCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Evaluating model calibration in 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
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