SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7676–7700 of 14581 papers

TitleStatusHype
Viewpoint Estimation---Insights & Model—0
DetNet: Design Backbone for Object Detection—0
ISNN: Impact Sound Neural Network for Audio-Visual Object Classification—0
Deep Generative Models for Weakly-Supervised Multi-Label Classification—0
DFT-based Transformation Invariant Pooling Layer for Visual Classification—0
Compound Memory Networks for Few-shot Video Classification—0
Clustering Convolutional Kernels to Compress Deep Neural NetworksCode0
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane—0
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification—0
Native Language Identification With Classifier Stacking and Ensembles—0
Sleep Stage Classification: Scalability Evaluations of Distributed Approaches—0
A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities—0
A Simplified Approach to Deep Learning for Image Segmentation—0
A Deep Neural Network Sentence Level Classification Method with Context Information—0
Hierarchical CVAE for Fine-Grained Hate Speech Classification—0
Neural DrugNet—0
Speaker Fluency Level Classification Using Machine Learning TechniquesCode0
Seeing Colors: Learning Semantic Text Encoding for Classification—0
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading—0
Proximity Forest: An effective and scalable distance-based classifier for time seriesCode1
Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop SchedulingCode0
An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs—0
A Unified Mammogram Analysis Method via Hybrid Deep SupervisionCode0
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification—0
Iterative Recursive Attention Model for Interpretable Sequence 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