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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8801–8850 of 14581 papers

TitleStatusHype
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion—0
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks—0
TDBot at SemEval-2019 Task 3: Context Aware Emotion Detection Using A Conditioned Classification Approach—0
Teacher Improves Learning by Selecting a Training Subset—0
Teacher-Student chain for efficient semi-supervised histology image classification—0
Teaching Syntax by Adversarial Distraction—0
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks—0
TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection—0
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields—0
Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection—0
Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT—0
\#TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets—0
Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System—0
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning—0
Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks—0
Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes—0
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization—0
TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks—0
TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network—0
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services—0
Telugu OCR Framework using Deep Learning—0
Temperate Fish Detection and Classification: a Deep Learning based Approach—0
TEMPO: Feature-Endowed Teichmüller Extremal Mappings of Point Clouds—0
Temporal Action Localization by Structured Maximal Sums—0
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates—0
Temporal classification for historical Romanian texts—0
Temporal Classification of Medical Events—0
Temporal Context Network for Activity Localization in Videos—0
Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017—0
Temporal Event Knowledge Acquisition via Identifying Narratives—0
Temporal Graph Kernels for Classifying Dissemination Processes—0
Temporal Information Annotation: Crowd vs. Experts—0
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture—0
Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data—0
Temporal Multimodal Fusion for Video Emotion Classification in the Wild—0
Temporal Relation Classification Based on Temporal Reasoning—0
Temporal Relation Classification in Persian and English contexts—0
Temporal Relation Classification using a Model of Tense and Aspect—0
Temporal Sequence Modeling for Video Event Detection—0
Temporal Text Classification for Romanian Novels set in the Past—0
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification—0
Tensor-Based Classifiers for Hyperspectral Data Analysis—0
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease—0
Tensor-based Nonlinear Classifier for High-Order Data Analysis—0
Tensor Decompositions: A New Concept in Brain Data Analysis?—0
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis—0
Tensor object classification via multilinear discriminant analysis network—0
Tensor Train Neighborhood Preserving Embedding—0
Tensor Valued Common and Individual Feature Extraction: Multi-dimensional Perspective—0
Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology—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