SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3701–3750 of 14581 papers

TitleStatusHype
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
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification—0
Bioacoustic Signal Classification Based on Continuous Region Processing, Grid Masking and Artificial Neural Network—0
Contrastive estimation reveals topic posterior information to linear models—0
A Survey and Classification of Controlled Natural Languages—0
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification—0
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm—0
Adversarial Attack on Sentiment Classification—0
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification—0
Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection—0
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification—0
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections—0
Contrastive Self-supervised Learning for Graph Classification—0
A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality—0
Contrast Phase Classification with a Generative Adversarial Network—0
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation—0
Controllable Invariance through Adversarial Feature Learning—0
Binary Stochastic Representations for Large Multi-class Classification—0
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning—0
Adversarial Attack on Hierarchical Graph Pooling Neural Networks—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
A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem—0
Convex Calibration Dimension for Multiclass Loss Matrices—0
Advancing Speech Recognition With No Speech Or With Noisy Speech—0
A Survey of Modern Deep Learning based Object Detection Models—0
Binary Sine Cosine Algorithms for Feature Selection from Medical Data—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
A survey of Object Classification and Detection based on 2D/3D data—0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
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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