SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6101–6150 of 14581 papers

TitleStatusHype
Emerald 110k: A Multidisciplinary Dataset for Abstract Sentence Classification—0
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics—0
Quantum-based subgraph convolutional neural networks—0
Recognizing Musical Entities in User-generated ContentCode0
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph ProximityCode0
Weakly Supervised Object Detection with Segmentation Collaboration—0
Summarizing Event Sequences with Serial Episodes: A Statistical Model and an Application—0
Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm for Observation of Accuracies for Various Hidden Layers—0
Combining Crowd and Machines for Multi-predicate Item Screening—0
Early Diagnosis of Pneumonia with Deep Learning—0
Clique pooling for graph classificationCode0
Multi-vision Attention Networks for On-line Red Jujube Grading—0
Learning Shared Encoding Representation for End-to-End Speech Recognition Models—0
On Arrhythmia Detection by Deep Learning and Multidimensional Representation—0
Can WiFi Estimate Person Pose?Code0
Classification of Motorcycles using Extracted Images of Traffic Monitoring Videos—0
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERTCode0
Exposing GAN-synthesized Faces Using Landmark Locations—0
An LBP-HOG Descriptor Based on Matrix Projection For Mammogram Classification—0
A framework for fake review detection in online consumer electronics retailers—0
Integrating Semantic Knowledge to Tackle Zero-shot Text ClassificationCode0
RAPID: Early Classification of Explosive Transients using Deep Learning—0
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering—0
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data—0
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning SystemsCode1
A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network—0
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks—0
A Survey on Graph Kernels—0
Imbalanced Sentiment Classification Enhanced with Discourse Marker—0
Deep Convolutional Spiking Neural Networks for Image Classification—0
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis—0
Addressing Model Vulnerability to Distributional Shifts over Image Transformation SetsCode0
Learning to Weight for Text ClassificationCode0
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling—0
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot LearningCode0
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration—0
Stable prediction with radiomics dataCode0
Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification—0
Diversity with Cooperation: Ensemble Methods for Few-Shot ClassificationCode0
A geometry-inspired decision-based attackCode0
Deep Learning and Word Embeddings for Tweet Classification for Crisis Response—0
DetNAS: Backbone Search for Object DetectionCode0
Generative Tensor Network Classification Model for Supervised Machine Learning—0
SciBERT: A Pretrained Language Model for Scientific TextCode1
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss—0
On evaluating CNN representations for low resource medical image classification—0
SuSi: Supervised Self-Organizing Maps for Regression and Classification in PythonCode0
Privacy-preserving Active Learning on Sensitive Data for User Intent Classification—0
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue systemCode0
Defending against Whitebox Adversarial Attacks via Randomized DiscretizationCode0
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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