SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3751–3800 of 14581 papers

TitleStatusHype
Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data—0
DROCC: Deep Robust One-Class Classification—0
Automated classification of stems and leaves of potted plants based on point cloud data—0
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification—0
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds—0
Triangle-Net: Towards Robustness in Point Cloud LearningCode0
Complexity Measures and Features for Times Series classification—0
Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses—0
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set SimilarityCode0
A Free-Energy Principle for Representation Learning—0
Using a thousand optimization tasks to learn hyperparameter search strategies—0
Cognitively-Inspired Model for Incremental Learning Using a Few ExamplesCode0
Joint 2D-3D Breast Cancer Classification—0
Imbalance Learning for Variable Star ClassificationCode0
Time Series Data Augmentation for Deep Learning: A Survey—0
Streaming Active Deep Forest for Evolving Data Stream Classification—0
Assignment Flows for Data Labeling on Graphs: Convergence and Stability—0
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
The role of regularization in classification of high-dimensional noisy Gaussian mixture—0
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras—0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
Fake Review Detection Using Behavioral and Contextual FeaturesCode0
Nonlinear classifiers for ranking problems based on kernelized SVMCode0
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlowCode0
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes—0
Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank—0
Diversity-Based Generalization for Unsupervised Text Classification under Domain ShiftCode0
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization—0
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors—0
A General Method for Robust Learning from Batches—0
General Framework for Binary Classification on Top Samples—0
Label-guided Learning for Text Classification—0
Missing Data Imputation for Classification Problems—0
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification—0
Using Distributional Thesaurus Embedding for Co-hyponymy Detection—0
Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique—0
Using Wavelets to Analyze Similarities in Image-Classification DatasetsCode0
Improving STDP-based Visual Feature Learning with Whitening—0
PoET-BiN: Power Efficient Tiny Binary Neurons—0
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance—0
On the generalization of bayesian deep nets for multi-class classification—0
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification—0
An Optimization and Generalization Analysis for Max-Pooling Networks—0
Optimistic bounds for multi-output prediction—0
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks—0
Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification—0
Adaptive Covariate Acquisition for Minimizing Total Cost of ClassificationCode0
Sparsity in Optimal Randomized Classification Trees—0
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes—0
Learning Optimal Classification Trees: Strong Max-Flow Formulations—0
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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