SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 101150 of 14581 papers

TitleStatusHype
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian ProcessesCode1
A Universal Representation Transformer Layer for Few-Shot Image ClassificationCode1
Automatically Discovering and Learning New Visual Categories with Ranking StatisticsCode1
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained ClassificationCode1
AutoMix: Unveiling the Power of Mixup for Stronger ClassifiersCode1
A Variational Algorithm for Quantum Neural NetworksCode1
A Self-Attention Network based Node Embedding ModelCode1
Bacteriophage classification for assembled contigs using Graph Convolutional NetworkCode1
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionCode1
Bag of Tricks for Efficient Text ClassificationCode1
A Practioner's Guide to Evaluating Entity Resolution ResultsCode1
Barlow Twins: Self-Supervised Learning via Redundancy ReductionCode1
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian ProcessesCode1
Be More with Less: Hypergraph Attention Networks for Inductive Text ClassificationCode1
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-ConsistencyCode1
Benchmarking Natural Language Understanding Services for building Conversational AgentsCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image ClassificationCode1
ViViT: A Video Vision TransformerCode1
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image ClassificationCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Bilinear Graph Neural Network with Neighbor InteractionsCode1
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature LearningCode1
Towards More Practical Adversarial Attacks on Graph Neural NetworksCode1
Denoised Smoothing: A Provable Defense for Pretrained ClassifiersCode1
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest RadiographsCode1
A Survey of Deep Learning Techniques for Weed Detection from ImagesCode1
An Unsupervised Autoregressive Model for Speech Representation LearningCode1
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced ScenariosCode1
A pipeline for fair comparison of graph neural networks in node classification tasksCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Anonymous Walk EmbeddingsCode1
AP-Loss for Accurate One-Stage Object DetectionCode1
Zero-Shot Semantic SegmentationCode1
An Evaluation Dataset for Intent Classification and Out-of-Scope PredictionCode1
An evidential classifier based on Dempster-Shafer theory and deep learningCode1
An End-to-End Architecture for Keyword Spotting and Voice Activity DetectionCode1
An Empirical Survey of Data Augmentation for Time Series Classification with Neural NetworksCode1
A Neural Few-Shot Text Classification Reality CheckCode1
A new Backdoor Attack in CNNs by training set corruption without label poisoningCode1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
Asymmetric Loss For Multi-Label ClassificationCode1
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image ClassificationCode1
An Adversarial Approach for the Robust Classification of Pneumonia from Chest RadiographsCode1
ALL-IN-1: Short Text Classification with One Model for All LanguagesCode1
A Machine Learning Benchmark for Facies ClassificationCode1
An Amharic News Text classification DatasetCode1
A Hybrid Classification Approach using Topic Modeling and Graph Convolution NetworksCode1
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1Unverified
2RFAccuracy92.96Unverified
3CARTAccuracy92.82Unverified
4LDAAccuracy77.22Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified
2XBNETAccuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified