SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6976–7000 of 14581 papers

TitleStatusHype
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification—0
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach—0
MI\&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification—0
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network—0
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations—0
Mixed context networks for semantic segmentation—0
Mixed Formal Learning: A Path to Transparent Machine Learning—0
Mixed Integer Linear Programming for Feature Selection in Support Vector Machine—0
Mixed Neural Network Approach for Temporal Sleep Stage Classification—0
Mixed-norm Regularization for Brain Decoding—0
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection—0
Mixed State Entanglement Classification using Artificial Neural Networks—0
MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings—0
Mixture model-based functional discriminant analysis for curve classification—0
Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework—0
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms—0
Mixture separability loss in a deep convolutional network for image classification—0
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network—0
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization—0
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification—0
MLBench: How Good Are Machine Learning Clouds for Binary Classification Tasks on Structured Data?—0
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification—0
MOANOFS: Multi-Objective Automated Negotiation based Online Feature Selection System for Big Data Classification—0
MOBA: A multi-objective bounded-abstention model for two-class cost-sensitive problems—0
Mobile Sound Recognition for the Deaf and Hard of Hearing—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified