SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 14581 papers

TitleStatusHype
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction—0
Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement—0
A Framework using Contrastive Learning for Classification with Noisy Labels—0
Automatic Stroke Classification of Tabla Accompaniment in Hindustani Vocal Concert Audio—0
Sentiment Classification in Swahili Language Using Multilingual BERT—0
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more AttentionCode0
Few-shot learning via tensor hallucinationCode0
Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics—0
Quantum algorithms for SVD-based data representation and analysisCode0
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise—0
SAS: A Simple, Accurate and Scalable Node Classification Algorithm—0
Multi-objective Feature Selection with Missing Data in Classification—0
GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationCode1
Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor—0
Three-level Hierarchical Transformer Networks for Long-sequence and Multiple Clinical Documents ClassificationCode1
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification—0
Data Distillation for Text ClassificationCode0
Emotion Classification in a Resource Constrained Language Using Transformer-based ApproachCode1
R&R: Metric-guided Adversarial Sentence GenerationCode1
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes—0
Potential Anchoring for imbalanced data classificationCode0
Neural String Edit DistanceCode0
Learning-based Compression for Material and Texture Recognition—0
Controlled abstention neural networks for identifying skillful predictions for classification problemsCode1
Cross-Modal Retrieval Augmentation for Multi-Modal 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
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