SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5801–5825 of 14581 papers

TitleStatusHype
Learning Class Unique Features in Fine-Grained Visual Classification—0
Towards Code-switched Classification Exploiting Constituent Language Resources—0
Towards Competitive Classifiers for Unbalanced Classification Problems: A Study on the Performance Scores—0
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach—0
Towards Convergence Rate Analysis of Random Forests for Classification—0
Towards Deeper Generative Architectures for GANs using Dense connections—0
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity—0
Towards Effective Codebookless Model for Image Classification—0
Towards Emotion-aided Multi-modal Dialogue Act Classification—0
Towards Emotion Recognition: A Persistent Entropy Application—0
Towards Emotion Retrieval in Egocentric PhotoStream—0
Towards end-to-end pulsed eddy current classification and regression with CNN—0
Towards Ethics by Design in Online Abusive Content Detection—0
Towards Evaluation of Cultural-scale Claims in Light of Topic Model Sampling Effects—0
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions—0
Towards Explainable NLP: A Generative Explanation Framework for Text Classification—0
Towards Fair Cross-Domain Adaptation via Generative Learning—0
Towards Fine-grained Citation Function Classification—0
Towards Global Explanations for Credit Risk Scoring—0
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification—0
Fooling Network Interpretation in Image Classification—0
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation—0
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models—0
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks—0
Towards Label Imbalance in Multi-label Classification with Many Labels—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