SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4076–4100 of 14581 papers

TitleStatusHype
Generating an Explainable ECG Beat Space With Variational Auto-Encoders—0
Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels—0
A Capsule Network-based Model for Learning Node EmbeddingsCode0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo ClassificationCode0
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streamsCode0
Fast Learning of Temporal Action Proposal via Dense Boundary GeneratorCode1
Simplifying Random Forests: On the Trade-off between Interpretability and Accuracy—0
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning—0
Self-training with Noisy Student improves ImageNet classificationCode1
Text classification with pixel embedding—0
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP EventsCode0
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network—0
Embedded Neural Networks for Robot AutonomyCode0
Learning Strategy-Aware Linear Classifiers—0
Improving BERT Fine-tuning with Embedding Normalization—0
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting—0
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News DetectionCode0
Can Monolingual Pretrained Models Help Cross-Lingual Classification?—0
Learning to Few-Shot Learn Across Diverse Natural Language Classification TasksCode0
Missing Features Reconstruction and Its Impact on Classification Accuracy—0
Pairwise coupling of convolutional neural networks for better explicability of classification systems—0
Interactive Classification by Asking Informative QuestionsCode1
Improving Machine Reading Comprehension via Adversarial Training—0
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture ClassificationCode0
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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