SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6476–6500 of 14581 papers

TitleStatusHype
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
White blood cell classification—0
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks—0
Who framed Roger Reindeer? De-censorship of Facebook posts by snippet classification—0
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification—0
Who is Addressed in this Comment? Automatically Classifying Meta-Comments in News Comments—0
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features—0
Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study—0
Who wants accurate models? Arguing for a different metrics to take classification models seriously—0
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification—0
Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification—0
Why is the Mahalanobis Distance Effective for Anomaly Detection?—0
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification—0
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users—0
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations—0
Wide and deep volumetric residual networks for volumetric image classification—0
Wield: Systematic Reinforcement Learning With Progressive Randomization—0
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees—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