SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9801–9825 of 14581 papers

TitleStatusHype
What Makes for Good Views for Contrastive Learning?—0
What makes us laugh? Investigations into Automatic Humor Classification—0
What matters in a transferable neural network model for relation classification in the biomedical domain?—0
Why Do Better Loss Functions Lead to Less Transferable Features?—0
What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models—0
What's in my closet?: Image classification using fuzzy logic—0
What Speakers really Mean when they Ask Questions: Classification of Intentions with a Supervised Approach—0
What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields—0
What Will I Do Next? The Intention from Motion Experiment—0
What you can cram into a single \$\&!\#* vector: Probing sentence embeddings for linguistic properties—0
What your Facebook Profile Picture Reveals about your Personality—0
When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP—0
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?—0
When does deep multi-task learning work for loosely related document classification tasks?—0
When does Diversity Help Generalization in Classification Ensembles?—0
When Does Stochastic Gradient Algorithm Work Well?—0
When is Early Classification of Time Series Meaningful?—0
When is the majority-vote classifier beneficial?—0
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time—0
When VLAD met Hilbert—0
Where Classification Fails, Interpretation Rises—0
Where is my Device? - Detecting the Smart Device's Wearing Location in the Context of Active Safety for Vulnerable Road Users—0
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication—0
Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification—0
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty—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