SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Showing 56515700 of 14581 papers

TitleStatusHype
The problems with using STNs to align CNN feature maps0
The Quantum Version Of Classification Decision Tree Constructing Algorithm C5.00
The R2I\_LIS Team Proposes Majority Vote for VarDial's MRC Task0
The Radon cumulative distribution transform and its application to image classification0
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling0
The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient0
The Relevance of Text and Speech Features in Automatic Non-native English Accent Identification0
The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification0
Thermal Features for Presentation Attack Detection in Hand Biometrics0
The RNN-ELM Classifier0
The role of dimensionality reduction in linear classification0
The Role of Principal Angles in Subspace Classification0
The Role of Randomness and Noise in Strategic Classification0
The role of regularization in classification of high-dimensional noisy Gaussian mixture0
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics0
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks0
The Romanian Neuter Examined Through A Two-Gender N-Gram Classification System0
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models0
The Sampling-and-Learning Framework: A Statistical View of Evolutionary Algorithms0
These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender Attribution0
The Semantic Adjacency Criterion in Time Intervals Mining0
The Simplest Thing That Can Possibly Work: Pseudo-Relevance Feedback Using Text Classification0
The Social Cost of Strategic Classification0
The Spatially-Conscious Machine Learning Model0
The speaker-independent lipreading play-off; a survey of lipreading machines0
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources0
The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization0
The Strength of the Weakest Supervision: Topic Classification Using Class Labels0
The structure of evolved representations across different substrates for artificial intelligence0
The SUMMA Platform Prototype0
The SVM Classifier Based on the Modified Particle Swarm Optimization0
The TALP-UPC Approach to System Selection: Asiya Features and Pairwise Classification Using Random Forests0
The taraX\"U corpus of human-annotated machine translations0
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification0
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey0
The THUMOS Challenge on Action Recognition for Videos "in the Wild"0
The UMCD Dataset0
The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models0
The Univariate Flagging Algorithm (UFA): a Fully-Automated Approach for Identifying Optimal Thresholds in Data0
The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task0
The UN Parallel Corpus Annotated for Translation Direction0
The use of Convolutional Neural Networks for signal-background classification in Particle Physics experiments0
The use of deep learning in image segmentation, classification and detection0
The Use of Mutual Coherence to Prove ^1/^0-Equivalence in Classification Problems0
The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification0
The Utility of Abstaining in Binary Classification0
The Utility of General Domain Transfer Learning for Medical Language Tasks0
The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings0
The Variational Deficiency Bottleneck0
The Variational Homoencoder: Learning to Infer High-Capacity Generative Models from Few Examples0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1Unverified
2RFAccuracy92.96Unverified
3CARTAccuracy92.82Unverified
4LDAAccuracy77.22Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified
2XBNETAccuracy100Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100Unverified