SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7226–7250 of 14581 papers

TitleStatusHype
Recurrently Controlled Recurrent NetworksCode0
MEMOIR: Multi-class Extreme Classification with Inexact Margin—0
Evolutionary-Neural Hybrid Agents for Architecture Search—0
High Dimensional Classification through _0-Penalized Empirical Risk MinimizationCode0
Explicit Interaction Model towards Text ClassificationCode0
Fine Grained Classification of Personal Data Entities—0
A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus DetectionCode0
Spectral Multigraph Networks for Discovering and Fusing Relationships in MoleculesCode0
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation—0
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data—0
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces—0
Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs—0
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning—0
Adversarial Classifier for Imbalanced Problems—0
Improving PSO Global Method for Feature Selection According to Iterations Global Search and Chaotic Theory—0
Contextualized Non-local Neural Networks for Sequence Learning—0
Compensated Integrated Gradients to Reliably Interpret EEG Classification—0
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional NetworksCode0
Towards Emotion Recognition: A Persistent Entropy Application—0
Pneumonia Detection in Chest Radiographs—0
Recent Advances in Open Set Recognition: A Survey—0
Robust Active Learning for Electrocardiographic Signal Classification—0
Single-Label Multi-Class Image Classification by Deep Logistic 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
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