SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 1–25 of 14581 papers

TitleStatusHype
Specialized text classification: an approach to classifying Open Banking transactions—0
Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy—0
Revisiting MLLMs: An In-Depth Analysis of Image Classification Abilities—0
Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident NarrativesCode0
Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem—0
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition—0
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models—0
Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency—0
Facial Beauty Analysis Using Distribution Prediction and CNN EnsemblesCode0
Improving performance of heart rate time series classification by grouping subjects—0
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond—0
Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained DevicesCode1
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer RegularizationCode1
Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial IntelligenceCode1
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering—0
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue DistributionCode1
Continuous Indeterminate Probability Neural NetworkCode0
Video traffic identification with novel feature extraction and selection method—0
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal—0
Sparsity based morphological identification of heartbeats—0
Fair and Optimal Classification via Post-ProcessingCode1
Hierarchical classification at multiple operating pointsCode1
Association Graph Learning for Multi-Task Classification with Category ShiftsCode1
Detecting Label Errors in Token Classification DataCode0
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained ModelsCode1
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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