SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6576–6600 of 14581 papers

TitleStatusHype
Dropout Distillation for Efficiently Estimating Model Confidence—0
Drought Stress Classification using 3D Plant Models—0
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers—0
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies—0
Dr.VAE: Drug Response Variational Autoencoder—0
DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification—0
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach—0
DTeam @ VarDial 2019: Ensemble based on skip-gram and triplet loss neural networks for Moldavian vs. Romanian cross-dialect topic identification—0
Dual Adversarial Co-Learning for Multi-Domain Text Classification—0
Quasi-Equivalence of Width and Depth of Neural Networks—0
Dual Linear Regression Based Classification for Face Cluster Recognition—0
Dual Memory Network Model for Biased Product Review Classification—0
Dual Skipping Networks—0
Dual Stage Classification of Hand Gestures using Surface Electromyogram—0
Dual Supervised Learning—0
Dual Training and Dual Prediction for Polarity Classification—0
Dual-Tree Wavelet Packet CNNs for Image Classification—0
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification—0
Du bon usage d'ingr\'edients linguistiques sp\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
Durkheim Project Data Analysis Report—0
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages—0
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—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