SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10651–10700 of 14581 papers

TitleStatusHype
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks—0
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets—0
Object-Level Context Modeling For Scene Classification with Context-CNN—0
Net2Vec: Deep Learning for the Network—0
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images—0
DeepTingle—0
Skin lesion detection based on an ensemble of deep convolutional neural network—0
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers—0
Relevance-based Word Embedding—0
Automatic Recognition of Mammal Genera on Camera-Trap Images using Multi-Layer Robust Principal Component Analysis and Mixture Neural Networks—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks—0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms—0
Deep Patch Learning for Weakly Supervised Object Classification and DiscoveryCode0
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions—0
Sparse Representation-based Open Set RecognitionCode0
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
DeepCorrect: Correcting DNN models against Image DistortionsCode0
Cross-lingual Distillation for Text ClassificationCode0
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis—0
Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification—0
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy LabelsCode0
Marine Animal Classification with Correntropy Loss Based Multi-view Learning—0
On the effectiveness of feature set augmentation using clusters of word embeddings—0
Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter—0
Pointed subspace approach to incomplete data—0
One-Class Semi-Supervised Learning: Detecting Linearly Separable Class by its Mean—0
Deep Learning for Tumor Classification in Imaging Mass Spectrometry—0
Broadband DOA estimation using Convolutional neural networks trained with noise signalsCode0
Data Collection from Persons with Mild Forms of Cognitive Impairment and Healthy Controls - Infrastructure for Classification and Prediction of Dementia—0
Regularizing Model Complexity and Label Structure for Multi-Label Text ClassificationCode0
Towards well-specified semi-supervised model-based classifiers via structural adaptation—0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Scalable Twin Neural Networks for Classification of Unbalanced DataCode0
Active Collaborative Ensemble Tracking—0
Deep Multi-view Models for Glitch Classification—0
A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification—0
A Survey of Neural Network Techniques for Feature Extraction from Text—0
A Network Perspective on Stratification of Multi-Label Data—0
Prediction of Daytime Hypoglycemic Events Using Continuous Glucose Monitoring Data and Classification Technique—0
On Using Active Learning and Self-Training when Mining Performance Discussions on Stack Overflow—0
A Generalization of Convolutional Neural Networks to Graph-Structured DataCode0
Konzept für Bildanalysen in Hochdurchsatz-Systemen am Beispiel des Zebrabärblings—0
Deep Text Classification Can be Fooled—0
Introspective Generative Modeling: Decide Discriminatively—0
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification—0
Some Like it Hoax: Automated Fake News Detection in Social NetworksCode0
Skeleton-based Action Recognition with Convolutional Neural NetworksCode1
Show:102550
← PrevPage 214 of 292Next →
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