SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8751–8800 of 14581 papers

TitleStatusHype
Continual Learning with Extended Kronecker-factored Approximate Curvature—0
Continual Local Replacement for Few-shot Learning—0
Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns—0
Continuous Convolutional Neural Networks for Image Classification—0
Continuous Learning for Large-scale Personalized Domain Classification—0
Continuous N-gram Representations for Authorship Attribution—0
Continuous Speech Recognition using EEG and Video—0
Continuum directions for supervised dimension reduction—0
ContourCNN: convolutional neural network for contour data classification—0
Contour Detection and Characterization for Asynchronous Event Sensors—0
Contour location via entropy reduction leveraging multiple information sources—0
Contour location via entropy reduction leveraging multiple information sources—0
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality—0
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification—0
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis—0
Contrastive estimation reveals topic posterior information to linear models—0
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification—0
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification—0
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections—0
Contrastive Self-supervised Learning for Graph Classification—0
Contrastive Self-Supervised Learning of Global-Local Audio-Visual Representations—0
Contrast Phase Classification with a Generative Adversarial Network—0
Controllable Invariance through Adversarial Feature Learning—0
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning—0
Controlling for Unobserved Confounds in Classification Using Correlational Constraints—0
Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally—0
Conv-codes: Audio Hashing For Bird Species Classification—0
Convergence of Nearest Neighbor Pattern Classification with Selective Sampling—0
Convergence Rates for Empirical Estimation of Binary Classification Bounds—0
Convergence Rates of Active Learning for Maximum Likelihood Estimation—0
Convergence rates of sub-sampled Newton methods—0
Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task—0
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy—0
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware—0
Convex Calibration Dimension for Multiclass Loss Matrices—0
Convex Class Model on Symmetric Positive Definite Manifolds—0
Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning—0
Convex Risk Minimization and Conditional Probability Estimation—0
Convolutional Architecture Exploration for Action Recognition and Image Classification—0
Convolutional capsule network for classification of breast cancer histology images—0
Convolutional Composer Classification—0
Convolutional Drift Networks for Video Classification—0
Convolutional Low-Resolution Fine-Grained Classification—0
Convolutional networks and learning invariant to homogeneous multiplicative scalings—0
Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images—0
Convolutional Neural Network-based Place Recognition—0
Convolutional Neural Network Committees for Melanoma Classification with Classical And Expert Knowledge Based Image Transforms Data Augmentation—0
Convolutional neural network for detection and classification of seizures in clinical data—0
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification—0
Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification—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