SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4401–4425 of 14581 papers

TitleStatusHype
Data Augmentation Based on Distributed Expressions in Text Classification Tasks—0
Gaussian Affinity for Max-Margin Class Imbalanced Learning—0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation—0
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention MechanismCode0
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification—0
Hierarchical Shot DetectorCode0
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision—0
Meta-Learning to Detect Rare Objects—0
Scalable Verified Training for Provably Robust Image Classification—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
Image Aesthetic Assessment Based on Pairwise Comparison A Unified Approach to Score Regression, Binary Classification, and Personalization—0
Global Feature Guided Local Pooling—0
Integral Object Mining via Online Attention AccumulationCode0
Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data—0
Saliency is a Possible Red Herring When Diagnosing Poor GeneralizationCode0
Machine Translation for Machines: the Sentiment Classification Use Case—0
Type-aware Convolutional Neural Networks for Slot Filling—0
Latent-Variable Generative Models for Data-Efficient Text Classification—0
Graph convolutional networks for learning with few clean and many noisy labelsCode0
A Hierarchical Convolutional Neural Network for Malware Classification—0
EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge ComputingCode0
An Object Detection by using Adaptive Structural Learning of Deep Belief Network—0
Blessing of dimensionality at the edge—0
Re-learning of Child Model for Misclassified data by using KL Divergence in AffectNet: A Database for Facial Expression—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