SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3776–3800 of 14581 papers

TitleStatusHype
Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank—0
Diversity-Based Generalization for Unsupervised Text Classification under Domain ShiftCode0
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization—0
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors—0
A General Method for Robust Learning from Batches—0
General Framework for Binary Classification on Top Samples—0
Label-guided Learning for Text Classification—0
Missing Data Imputation for Classification Problems—0
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—0
Using Distributional Thesaurus Embedding for Co-hyponymy Detection—0
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique—0
Using Wavelets to Analyze Similarities in Image-Classification DatasetsCode0
Improving STDP-based Visual Feature Learning with Whitening—0
PoET-BiN: Power Efficient Tiny Binary Neurons—0
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance—0
On the generalization of bayesian deep nets for multi-class classification—0
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification—0
An Optimization and Generalization Analysis for Max-Pooling Networks—0
Optimistic bounds for multi-output prediction—0
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks—0
Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification—0
Adaptive Covariate Acquisition for Minimizing Total Cost of ClassificationCode0
Sparsity in Optimal Randomized Classification Trees—0
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes—0
Learning Optimal Classification Trees: Strong Max-Flow Formulations—0
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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