SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6351–6375 of 14581 papers

TitleStatusHype
Batch Virtual Adversarial Training for Graph Convolutional Networks—0
Epileptic seizure classification using statistical sampling and a novel feature selection algorithm—0
Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text ClassificationCode0
Audio Caption: Listen and TellCode0
A Theoretical Analysis of Contrastive Unsupervised Representation Learning—0
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses—0
Attentional Encoder Network for Targeted Sentiment ClassificationCode0
GFCN: A New Graph Convolutional Network Based on Parallel Flows—0
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problemsCode0
Multi-Label Network Classification via Weighted Personalized Factorizations—0
Revealing quantum chaos with machine learningCode0
Visualization, Discriminability and Applications of Interpretable Saak Features—0
Image Classification on IoT Edge Devices: Profiling and Modeling—0
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract—0
Pragmatic classification of movement primitives for stroke rehabilitation—0
Towards end-to-end pulsed eddy current classification and regression with CNN—0
Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations—0
Fine-grained Search Space Classification for Hard Enumeration Variants of Subset Problems—0
Bayesian Anomaly Detection and Classification—0
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-TimeCode0
Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder—0
Learning about an exponential amount of conditional distributionsCode0
Diversity of Ensembles for Data Stream Classification—0
Adversarial Attacks on Graph Neural Networks via Meta LearningCode0
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelinesCode0
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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