SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3251–3300 of 14581 papers

TitleStatusHype
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages—0
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
On the Arbitrary-Oriented Object Detection: Classification based Approaches RevisitedCode2
Human Grasp Classification for Reactive Human-to-Robot Handovers—0
A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification—0
Topological Effects on Attacks Against Vertex Classification—0
How Powerful Are Randomly Initialized Pointcloud Set Functions?—0
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image ClassificationCode1
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models—0
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial OcclusionCode1
Closure Properties for Private Classification and Online Prediction—0
SuperMix: Supervising the Mixing Data AugmentationCode1
Text classification with word embedding regularization and soft similarity measureCode0
Spitzoid Lesions Diagnosis based on GA feature selection and Random Forest—0
Topological Machine Learning for Mixed Numeric and Categorical DataCode0
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Metric Learning for Ordered Labeled Trees with pq-gramsCode0
Embedding Propagation: Smoother Manifold for Few-Shot ClassificationCode1
Deep Inverse Feature Learning: A Representation Learning of Error—0
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data—0
Dense Dilated Convolutions Merging Network for Land Cover ClassificationCode1
Utilizing Deep Learning to Identify Drug Use on Twitter Data—0
Inverse Feature Learning: Feature learning based on Representation Learning of Error—0
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw PatchesCode1
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification—0
Angle-Based Cost-Sensitive Multicategory Classification—0
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural NetworksCode0
ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification—0
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network—0
SimLoss: Class Similarities in Cross EntropyCode1
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification—0
Application of Support Vector Machines for Seismogram Analysis and Differentiation—0
Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT—0
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images—0
Transfer Learning for Information Extraction with Limited Data—0
TaskNorm: Rethinking Batch Normalization for Meta-LearningCode1
AIDeveloper: deep learning image classification in life science and beyondCode1
On the performance of deep learning models for time series classification in streamingCode1
Optimizing JPEG Quantization for Classification Networks—0
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification—0
End-to-End Trainable One-Stage Parking Slot Detection Integrating Global and Local Information—0
Minimal spiking neuron for solving multi-label classification tasks—0
PAC-Bayes meta-learning with implicit task-specific posteriors—0
Factorized Graph Representations for Semi-Supervised Learning from Sparse DataCode0
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)Code1
Towards Fair Cross-Domain Adaptation via Generative Learning—0
Reduced Dilation-Erosion Perceptron for Binary ClassificationCode0
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural NetworksCode0
On the Learning Property of Logistic and Softmax Losses for Deep Neural NetworksCode0
Contrastive estimation reveals topic posterior information to linear models—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