SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 876–900 of 14581 papers

TitleStatusHype
On Explaining Your Explanations of BERT: An Empirical Study with Sequence ClassificationCode1
Online SSVEP-based BCI using Riemannian geometryCode1
On Minimum Discrepancy Estimation for Deep Domain AdaptationCode1
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation ClassificationCode1
On the Limitations of Continual Learning for Malware ClassificationCode1
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial LocationCode1
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene ClassificationCode1
Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle DetectionCode1
AIDeveloper: deep learning image classification in life science and beyondCode1
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax LayerCode1
Overcoming catastrophic forgetting in neural networksCode1
Accumulated Polar Feature-based Deep Learning for Efficient and Lightweight Automatic Modulation Classification with Channel Compensation MechanismCode1
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia ArticlesCode1
Parametric Instance Classification for Unsupervised Visual Feature LearningCode1
Over-the-Air Adversarial Flickering Attacks against Video Recognition NetworksCode1
Mixture-based Feature Space Learning for Few-shot Image ClassificationCode1
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-SpoofingCode1
PML: Progressive Margin Loss for Long-tailed Age ClassificationCode1
PointAugment: an Auto-Augmentation Framework for Point Cloud ClassificationCode1
2kenize: Tying Subword Sequences for Chinese Script ConversionCode1
A Neural Few-Shot Text Classification Reality CheckCode1
Progressive Co-Attention Network for Fine-grained Visual ClassificationCode1
A kernel-based quantum random forest for improved classificationCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Adaptive XGBoost for Evolving Data StreamsCode1
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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