SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 7501–7550 of 14581 papers

TitleStatusHype
New complex network building methodology for High Level Classification based on attribute-attribute interaction—0
New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning—0
New feature for Complex Network based on Ant Colony Optimization for High Level Classification—0
New Mathematical and Algorithmic Schemes for Pattern Classification with Application to the Identification of Writers of Important Ancient Documents—0
New optimization algorithms for neural network training using operator splitting techniques—0
New Radon Transform Based Texture Features of Handwritten Document—0
Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains—0
Neyman-Pearson classification: parametrics and sample size requirement—0
Neyman-Pearson Classification under High-Dimensional Settings—0
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification—0
N-gram-Based Low-Dimensional Representation for Document Classification—0
Towards Non-I.I.D. Image Classification: A Dataset and Baselines—0
Nikolov-Radivchev at SemEval-2019 Task 6: Offensive Tweet Classification with BERT and Ensembles—0
NILC at CWI 2018: Exploring Feature Engineering and Feature Learning—0
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis—0
NIST: An Image Classification Network to Image Semantic Retrieval—0
NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction—0
NLG301 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News—0
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification—0
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets—0
NLPSA at IJCNLP-2017 Task 2: Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment Analysis—0
NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs—0
n-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers—0
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning—0
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings—0
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World—0
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest—0
Node Classification in Uncertain Graphs—0
NodeNet: A Graph Regularised Neural Network for Node Classification—0
Node Representation Learning for Directed Graphs—0
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective—0
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency—0
Noise in Classification—0
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing—0
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning—0
Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor—0
Noise-robust classification with hypergraph neural network—0
Noise-tolerant, Reliable Active Classification with Comparison Queries—0
Noisy Softplus: an activation function that enables SNNs to be trained as ANNs—0
Non-asymptotic Analysis of _1-norm Support Vector Machines—0
Non-atomic Classification to Improve a Semantic Role Labeler for a Low-resource Language—0
Non-convex non-local flows for saliency detection—0
Nonconvex Penalization in Sparse Estimation: An Approach Based on the Bernstein Function—0
Noncrossing Ordinal Classification—0
\#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets—0
"None of the Above":Measure Uncertainty in Dialog Response Retrieval—0
``None of the Above'': Measure Uncertainty in Dialog Response Retrieval—0
Customized Graph Neural Networks—0
Non-imaging single-pixel sensing with optimized binary modulation—0
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks—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