SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 5701–5725 of 14581 papers

TitleStatusHype
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets—0
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of ExoplanetsCode0
ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion DetectorCode0
eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information—0
Explainability Methods for Graph Convolutional Neural NetworksCode0
Active Learning for Binary Classification with Abstention—0
Exploiting Noisy Data in Distant Supervision Relation Classification—0
Linear and Quadratic Discriminant Analysis: TutorialCode0
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs—0
Are Fictional Voices Distinguishable? Classifying Character Voices in Modern Drama—0
CAiRE\_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification—0
INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification—0
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative ModelsCode0
Improving Human Needs Categorization of Events with Semantic Classification—0
Incorporating Emoji Descriptions Improves Tweet Classification—0
Detecting Anomalies in Image Classification by Means of Semantic RelationshipsCode0
DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification—0
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog—0
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification—0
A Late Fusion CNN for Digital MattingCode0
DTeam @ VarDial 2019: Ensemble based on skip-gram and triplet loss neural networks for Moldavian vs. Romanian cross-dialect topic identification—0
Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version—0
DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation—0
Perceptual Evaluation of Adversarial Attacks for CNN-based Image ClassificationCode0
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling—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