SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 5201–5250 of 14581 papers

TitleStatusHype
Class Mean Vectors, Self Monitoring and Self Learning for Neural Classifiers—0
Class Probability Estimation via Differential Geometric Regularization—0
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift—0
Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification—0
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy—0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
Class Vectors: Embedding representation of Document Classes—0
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
Cleaning up the neighborhood: A full classification for adversarial partial monitoring—0
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks—0
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition—0
C-Learning: Learning to Achieve Goals via Recursive Classification—0
ClearTAC: Verb Tense, Aspect, and Form Classification Using Neural Nets—0
Client Profiling for an Anti-Money Laundering System—0
Clinical Data Classification using Conditional Random Fields and Neural Parsing for Morphologically Rich Languages—0
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals—0
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks—0
Closed Form Variational Objectives For Bayesian Neural Networks with a Single Hidden Layer—0
Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning—0
Closed-Loop Neural Interfaces with Embedded Machine Learning—0
Closure Properties for Private Classification and Online Prediction—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Cloud-based Federated Boosting for Mobile Crowdsensing—0
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield—0
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts—0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series—0
Conditional Classification: A Solution for Computational Energy Reduction—0
Cluster based RBF Kernel for Support Vector Machines—0
ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition—0
Cluster-Gated Convolutional Neural Network for Short Text Classification—0
Clustering and Classification Networks—0
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique—0
Clustering and Labelling Auction Fraud Data—0
Clustering and Retrieval Method of Immunological Memory Cell in Clonal Selection Algorithm—0
Clustering and Semi-Supervised Classification for Clickstream Data via Mixture Models—0
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation—0
Clustering, Classification, Discriminant Analysis, and Dimension Reduction via Generalized Hyperbolic Mixtures—0
Clustering with phylogenetic tools in astrophysics—0
Cluster & Tune: Enhance BERT Performance in Low Resource Text Classification—0
CLUZH at VarDial GDI 2017: Testing a Variety of Machine Learning Tools for the Classification of Swiss German Dialects—0
CMMC-BDRC Solution to the NLP-TEA-2018 Chinese Grammatical Error Diagnosis Task—0
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System—0
CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning—0
CNN- and LSTM-based Claim Classification in Online User Comments—0
CNN-based Landmark Detection in Cardiac CTA Scans—0
CNN based music emotion classification—0
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification—0
CNN Hyperparameter tuning applied to Iris Liveness Detection—0
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions—0
CNNs for Surveillance Footage 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