SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 76100 of 14581 papers

TitleStatusHype
A Self-supervised Approach for Adversarial RobustnessCode1
A Structured Self-attentive Sentence EmbeddingCode1
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionCode1
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained ClassificationCode1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
A pipeline for fair comparison of graph neural networks in node classification tasksCode1
A Practioner's Guide to Evaluating Entity Resolution ResultsCode1
Are These Birds Similar: Learning Branched Networks for Fine-grained RepresentationsCode1
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series ClassificationCode1
A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationCode1
A new Backdoor Attack in CNNs by training set corruption without label poisoningCode1
An End-to-End Architecture for Keyword Spotting and Voice Activity DetectionCode1
An Evaluation Dataset for Intent Classification and Out-of-Scope PredictionCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and DetectionCode1
An Empirical Analysis of Image-Based Learning Techniques for Malware ClassificationCode1
A Neural Few-Shot Text Classification Reality CheckCode1
Accumulated Polar Feature-based Deep Learning for Efficient and Lightweight Automatic Modulation Classification with Channel Compensation MechanismCode1
An evidential classifier based on Dempster-Shafer theory and deep learningCode1
A Closer Look at Few-shot ClassificationCode1
An Unsupervised Autoregressive Model for Speech Representation LearningCode1
Achieving robustness in classification using optimal transport with hinge regularizationCode1
AP-Loss for Accurate One-Stage Object DetectionCode1
The MAMe Dataset: On the relevance of High Resolution and Variable Shape image propertiesCode1
An Empirical Study of Example Forgetting during Deep Neural Network LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1Unverified
2RFAccuracy92.96Unverified
3CARTAccuracy92.82Unverified
4LDAAccuracy77.22Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy100Unverified
2MONT3Accuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified