SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3076–3100 of 14581 papers

TitleStatusHype
Finding the Optimal Vocabulary Size for Neural Machine TranslationCode0
Comparative Analysis of Multiple Deep CNN Models for Waste Classification—0
"None of the Above":Measure Uncertainty in Dialog Response Retrieval—0
Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying ClassificationCode0
Abstracting Fairness: Oracles, Metrics, and Interpretability—0
Group Based Deep Shared Feature Learning for Fine-grained Image Classification—0
Knowledge Guided Metric Learning for Few-Shot Text Classification—0
CNN-MoE based framework for classification of respiratory anomalies and lung disease detection—0
Generating Hierarchical Explanations on Text Classification via Feature Interaction DetectionCode1
Fine grained classification for multi-source land cover mappingCode0
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors—0
BAE: BERT-based Adversarial Examples for Text ClassificationCode2
Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification—0
Disassembling Object Representations without Labels—0
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology—0
Gradient Centralization: A New Optimization Technique for Deep Neural NetworksCode1
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis—0
Finding Black Cat in a Coal Cellar -- Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex AssignmentsCode0
Hierarchical Image Classification using Entailment Cone EmbeddingsCode1
TSception: A Deep Learning Framework for Emotion Detection Using EEGCode1
Binary and Multiclass Classifiers based on Multitaper Spectral Features for Epilepsy Detection—0
Learning Representations For Images With Hierarchical LabelsCode1
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems—0
Supervised Learning with Quantum MeasurementsCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
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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