SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6501–6525 of 14581 papers

TitleStatusHype
Deep One-Class Classification Using Intra-Class Splitting—0
Saliency Tubes: Visual Explanations for Spatio-Temporal ConvolutionsCode0
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection ChallengeCode0
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmarkCode0
Online Multiclass Classification Based on Prediction Margin for Partial Feedback—0
Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning—0
Quantum Speedup in Adaptive Boosting of Binary Classification—0
Supervised classification via minimax probabilistic transformations—0
Supervised Quantization for Similarity Search—0
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data—0
A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base—0
Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed—0
Do We Train on Test Data? Purging CIFAR of Near-Duplicates—0
A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids—0
ColorNet: Investigating the importance of color spaces for image classificationCode0
Deep Learning Solutions for TanDEM-X-based Forest Classification—0
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text ClassificationCode0
Robustness Certificates Against Adversarial Examples for ReLU Networks—0
Lift-the-flap: what, where and when for context reasoning—0
The Spatially-Conscious Machine Learning Model—0
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning InterpretationCode0
Towards a Characterization of Explainable Systems—0
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve RobustnessCode0
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networksCode0
Probabilistic Discriminative Learning with Layered Graphical ModelsCode0
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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