SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 97519775 of 14581 papers

TitleStatusHype
Improvements to context based self-supervised learning0
Bidirectional deep-readout echo state networksCode0
Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events0
Fast Recurrent Fully Convolutional Networks for Direct Perception in Autonomous Driving0
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks0
Enhanced Attacks on Defensively Distilled Deep Neural Networks0
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification0
Global versus Localized Generative Adversarial NetsCode0
On Communication Complexity of Classification Problems0
Zero-Shot Learning via Category-Specific Visual-Semantic Mapping0
Motif-based Convolutional Neural Network on GraphsCode0
Spectral-spatial classification of hyperspectral images: three tricks and a new supervised learning settingCode0
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification0
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results0
A Fast and Robust TSVM for Pattern ClassificationCode0
A Public Image Database for Benchmark of Plant Seedling Classification AlgorithmsCode0
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System0
Feature importance scores and lossless feature pruning using Banzhaf power indices0
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification0
A learning problem that is independent of the set theory ZFC axioms0
False Positive and Cross-relation Signals in Distant Supervision DataCode0
Saliency-based Sequential Image Attention with Multiset Prediction0
Unsupervised patient representations from clinical notes with interpretable classification decisions0
On Extending Neural Networks with Loss Ensembles for Text Classification0
TripletGAN: Training Generative Model with Triplet Loss0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1Unverified
2RFAccuracy92.96Unverified
3CARTAccuracy92.82Unverified
4LDAAccuracy77.22Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified
2XBNETAccuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified