SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8901–8925 of 14581 papers

TitleStatusHype
Adversarially Robust Generalization Requires More Data—0
An End-to-End Deep Learning Architecture for Graph ClassificationCode0
Dense Adaptive Cascade Forest: A Self Adaptive Deep Ensemble for Classification Problems—0
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition—0
SHADE: Information Based Regularization for Deep Learning—0
A Cost-Sensitive Deep Belief Network for Imbalanced Classification—0
Data science is science's second chance to get causal inference right: A classification of data science tasks—0
Classification of Malware by Using Structural Entropy on Convolutional Neural NetworksCode0
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks—0
Joint Shape Representation and Classification for Detecting PDAC—0
Automatic classification of trees using a UAV onboard camera and deep learning—0
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir—0
Stacked U-Nets: A No-Frills Approach to Natural Image SegmentationCode0
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification—0
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry—0
Visual Data Synthesis via GAN for Zero-Shot Video Classification—0
Recommending Outfits from Personal Closet—0
On deep speaker embeddings for text-independent speaker recognition—0
Optimal-margin evolutionary classifierCode0
fMRI: preprocessing, classification and pattern recognition—0
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification—0
BEST : A decision tree algorithm that handles missing values—0
Decentralized learning with budgeted network load using Gaussian copulas and classifier ensemblesCode0
Hierarchical Attention Transfer Network for Cross-Domain Sentiment ClassificationCode0
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image 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