SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 9851–9900 of 14581 papers

TitleStatusHype
Word Embeddings for Multi-label Document Classification—0
Word Embeddings to Enhance Twitter Gang Member Profile Identification—0
Word-level Speech Recognition with a Letter to Word Encoder—0
WordNet2Vec: Corpora Agnostic Word Vectorization Method—0
WordsWorth Scores for Attacking CNNs and LSTMs for Text Classification—0
Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems—0
Work Hard, Play Hard: Email Classification on the Avocado and Enron Corpora—0
Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning—0
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems—0
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning—0
W-RNN: News text classification based on a Weighted RNN—0
WSNet: Compact and Efficient Networks Through Weight Sampling—0
WSNet: Learning Compact and Efficient Networks with Weight Sampling—0
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining—0
XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter—0
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
XOR_p A maximally intertwined p-classes problem used as a benchmark with built-in truth for neural networks gradient descent optimization—0
X-ray Scattering Image Classification Using Deep Learning—0
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis—0
X-TREPAN: a multi class regression and adapted extraction of comprehensible decision tree in artificial neural networks—0
Yelp Dataset Challenge: Review Rating Prediction—0
Yelp Food Identification via Image Feature Extraction and Classification—0
Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease—0
Y-net: 3D intracranial artery segmentation using a convolutional autoencoder—0
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations—0
YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter—0
YNU\_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification—0
YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of English—0
YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification—0
YNU-HPCC at SemEval-2018 Task 1: BiLSTM with Attention based Sentiment Analysis for Affect in Tweets—0
YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter—0
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration—0
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video—0
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos—0
YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model—0
YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network—0
Z Distance Function for KNN Classification—0
Zero-Shot Audio Classification Based on Class Label Embeddings—0
Zero-Shot Audio Classification via Semantic Embeddings—0
Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections—0
Zero-Shot Classification With Discriminative Semantic Representation Learning—0
Zero-shot Cross Language Text Classification—0
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation—0
Zero-Shot Deep Domain Adaptation—0
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics—0
Zero-Shot Image Classification Using Coupled Dictionary Embedding—0
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration—0
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging—0
Zero-Shot Learning for Semantic Utterance Classification—0
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified