SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5451–5475 of 14581 papers

TitleStatusHype
Task-Driven Feature Pooling for Image Classification—0
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography—0
Task-oriented Domain-specific Meta-Embedding for Text Classification—0
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification—0
Taxonomy grounded aggregation of classifiers with different label sets—0
TBD: Benchmarking and Analyzing Deep Neural Network Training—0
Tchebycheff Procedure for Multi-task Text Classification—0
TDAM: a Topic-Dependent Attention Model for Sentiment Analysis—0
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
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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