SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7751–7775 of 14581 papers

TitleStatusHype
On Recursive Edit Distance Kernels with Application to Time Series Classification—0
On Reject and Refine Options in Multicategory Classification—0
On Self-Supervised Image Representations for GAN Evaluation—0
On semi-supervised learning—0
On Single-environment Extrapolations in Graph Classification and Regression Tasks—0
On Singleton Arc Consistency for CSPs Defined by Monotone Patterns—0
On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter—0
On Study of the Binarized Deep Neural Network for Image Classification—0
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning—0
On Ternary Coding and Three-Valued Logic—0
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks—0
Challenging the adversarial robustness of DNNs based on error-correcting output codes—0
On the Application of Generic Summarization Algorithms to Music—0
On the Bayes-optimality of F-measure maximizers—0
On the benefits of output sparsity for multi-label classification—0
On the boosting ability of top-down decision tree learning algorithm for multiclass classification—0
On the Calibration of Nested Dichotomies for Large Multiclass Tasks—0
On The Classification-Distortion-Perception Tradeoff—0
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries—0
On the Consistency of Ordinal Regression Methods—0
On the Consistency of Top-k Surrogate Losses—0
On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox—0
On the contribution of word embeddings to temporal relation classification—0
On the CVP for the root lattices via folding with deep ReLU neural networks—0
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost—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