SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8926–8950 of 14581 papers

TitleStatusHype
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization—0
The DCU Discourse Parser: A Sense Classification Task—0
The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification—0
The Deeper, the Better: Analysis of Person Attributes Recognition—0
The DeLiVerMATH project - Text analysis in mathematics—0
The Devil is in the Tails: Fine-grained Classification in the Wild—0
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis—0
The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds—0
The Disparate Effects of Strategic Manipulation—0
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion—0
The Dynamics of Learning: A Random Matrix Approach—0
The Effectiveness of Data Augmentation for Detection of Gastrointestinal Diseases from Endoscopical Images—0
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks—0
The Effect of Data Ordering in Image Classification—0
The Effect of Downstream Classification Tasks for Evaluating Sentence Embeddings—0
The Effect of Temporal-based Term Selection for Text Classification—0
The Effect of Visual Design in Image Classification—0
The Effects of User Features on Twitter Hate Speech Detection—0
The efficacy of various machine learning models for multi-class classification of RNA-seq expression data—0
The emergent algebraic structure of RNNs and embeddings in NLP—0
The Emerging Trends of Multi-Label Learning—0
The ERA of FOLE: Foundation—0
The Expressive Power of Deep Neural Networks with Circulant Matrices—0
The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features—0
The foundations of cost-sensitive causal classification—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified