SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5426–5450 of 14581 papers

TitleStatusHype
Exploration of Noise Strategies in Semi-supervised Named Entity Classification—0
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification—0
GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media—0
DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation—0
Atalaya at SemEval 2019 Task 5: Robust Embeddings for Tweet Classification—0
A Semantic Cover Approach for Topic Modeling—0
Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection—0
CAiRE\_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification—0
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs—0
ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion DetectorCode0
Exploiting Noisy Data in Distant Supervision Relation Classification—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Adversarial Category Alignment Network for Cross-domain Sentiment Classification—0
DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification—0
Incorporating Emoji Descriptions Improves Tweet Classification—0
A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems—0
bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media—0
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of ExoplanetsCode0
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification—0
Perceptual Evaluation of Adversarial Attacks for CNN-based Image ClassificationCode0
Active Learning for Binary Classification with Abstention—0
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction—0
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative ModelsCode0
Explainability Methods for Graph Convolutional Neural NetworksCode0
Weakly Supervised Image Classification Through Noise Regularization—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