SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9326–9350 of 14581 papers

TitleStatusHype
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification—0
Improved EEG Event Classification Using Differential Energy—0
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach—0
Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data—0
An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text—0
Identifying emergency stages in Facebook posts of police departments with convolutional and recurrent neural networks and support vector machines—0
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM—0
DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals—0
Cheap DNN Pruning with Performance Guarantees—0
Improve Training Stability of Semi-supervised Generative Adversarial Networks with Collaborative Training—0
Key Protected Classification for GAN Attack Resilient Collaborative Learning—0
DropMax: Adaptive Stochastic Softmax—0
Grouping-By-ID: Guarding Against Adversarial Domain Shifts—0
A Classification-Based Perspective on GAN Distributions—0
Autoregressive Generative Adversarial Networks—0
From Information Bottleneck To Activation Norm Penalty—0
Adversarial Examples for Natural Language Classification Problems—0
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping—0
Interpretable Classification via Supervised Variational Autoencoders and Differentiable Decision Trees—0
Training RNNs as Fast as CNNsCode2
Recursive Binary Neural Network Learning Model with 2-bit/weight Storage Requirement—0
Learning Representations for Faster Similarity Search—0
Model Specialization for Inference Via End-to-End Distillation, Pruning, and Cascades—0
Transfer Learning on Manifolds via Learned Transport Operators—0
Learning temporal evolution of probability distribution with Recurrent Neural Network—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