SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 12951–13000 of 14581 papers

TitleStatusHype
Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing—0
Annotation and Classification of Argumentative Writing Revisions—0
From Argumentation Mining to Stance Classification—0
Distributional Representations of Words for Short Text Classification—0
HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering—0
KLUEless: Polarity Classification and Association—0
IOA: Improving SVM Based Sentiment Classification Through Post Processing—0
AMBRA: A Ranking Approach to Temporal Text Classification—0
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter—0
Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment—0
PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11—0
Turku: Semantic Dependency Parsing as a Sequence Classification—0
NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction—0
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification—0
SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging—0
TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification—0
RoseMerry: A Baseline Message-level Sentiment Classification System—0
UCD : Diachronic Text Classification with Character, Word, and Syntactic N-grams—0
SWATCS65: Sentiment Classification Using an Ensemble of Class Projects—0
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models—0
Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships—0
Towards Semantic Language Classification: Inducing and Clustering Semantic Association Networks from Europarl—0
Speeding Document Annotation with Topic Models—0
Computational Exploration to Linguistic Structures of Future: Classification and Categorization—0
Collective Document Classification with Implicit Inter-document Semantic Relationships—0
Fast and Flexible Convolutional Sparse Coding—0
Object Detection by Labeling Superpixels—0
Three Viewpoints Toward Exemplar SVM—0
Material Classification With Thermal Imagery—0
Texture Representations for Image and Video Synthesis—0
Scene Classification With Semantic Fisher Vectors—0
Ontological Supervision for Fine Grained Classification of Street View Storefronts—0
Multi-Manifold Deep Metric Learning for Image Set Classification—0
Tree Quantization for Large-Scale Similarity Search and Classification—0
Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification—0
Sparse Representation Classification With Manifold Constraints Transfer—0
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition—0
More About VLAD: A Leap From Euclidean to Riemannian Manifolds—0
Scene Labeling With LSTM Recurrent Neural Networks—0
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection—0
A Novel Locally Linear KNN Model for Visual Recognition—0
Fusing Subcategory Probabilities for Texture Classification—0
Grasp Type Revisited: A Modern Perspective on a Classical Feature for Vision—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
Hardware Compliant Approximate Image Codes—0
Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification—0
Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition—0
Deep Multiple Instance Learning for Image Classification and Auto-Annotation—0
Learning From Massive Noisy Labeled Data for Image Classification—0
From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding—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