SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7451–7475 of 14581 papers

TitleStatusHype
Fooling Computer Vision into Inferring the Wrong Body Mass Index—0
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks—0
Forecastable Component Analysis (ForeCA)—0
Forecasting in multivariate irregularly sampled time series with missing values—0
Foreground segmentation based on multi-resolution and matting—0
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks—0
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction—0
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation—0
Formulating Queries for Collecting Training Examples in Visual Concept Classification—0
Forward Amortized Inference for Likelihood-Free Variational Marginalization—0
Forward and Backward Knowledge Transfer for Sentiment Classification—0
Forward Stagewise Additive Model for Collaborative Multiview Boosting—0
Fourier Transform Approach to Machine Learning III: Fourier Classification—0
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review—0
Modelling Identity Rules with Neural Networks—0
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification—0
Modelling Preference Data with the Wallenius Distribution—0
Modelling prosodic structure using Artificial Neural Networks—0
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification—0
Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification—0
Model Selection for Anomaly Detection—0
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation—0
Models, networks and algorithmic complexity—0
Model Specialization for Inference Via End-to-End Distillation, Pruning, and Cascades—0
MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification—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