SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 7901–7950 of 14581 papers

TitleStatusHype
Cyber-aggression Detection using Cross Segment-and-Concatenate Multi-Task Learning from Text—0
Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson's Disease—0
Towards an Automatic Classification of Illustrative Examples in a Large Japanese-French Dictionary Obtained by OCR—0
Real-time image-based instrument classification for laparoscopic surgery—0
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods—0
Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks—0
Sleep-wake classification via quantifying heart rate variability by convolutional neural network—0
Multi-modal Cycle-consistent Generalized Zero-Shot LearningCode0
Classification of Building Information Model (BIM) Structures with Deep Learning—0
Efficient Progressive Neural Architecture Search—0
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHCCode1
The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolutionCode1
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals—0
Scale equivariance in CNNs with vector fields—0
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification—0
Unsupervised Domain Adaptive Re-Identification: Theory and PracticeCode0
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters—0
Faster Convergence & Generalization in DNNs—0
Acquisition of Localization Confidence for Accurate Object DetectionCode1
Extreme Network Compression via Filter Group Approximation—0
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning—0
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning—0
Convolutional Gated Recurrent Units for Medical Relation ClassificationCode0
NMT-based Cross-lingual Document Embeddings—0
Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI—0
Transportation Modes Classification Using Feature Engineering—0
W-TALC: Weakly-supervised Temporal Activity Localization and ClassificationCode0
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G—0
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network—0
Influence of Image Classification Accuracy on Saliency Map EstimationCode0
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using WearablesCode1
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Robust Tracking via Weighted Online Extreme Learning Machine—0
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification—0
Neural State Classification for Hybrid SystemsCode0
Propensity score estimation using classification and regression trees in the presence of missing covariate data—0
Unbounded Output Networks for Classification—0
Conditional Information Gain Networks—0
A Surprising Linear Relationship Predicts Test Performance in Deep NetworksCode0
How good is my GAN?—0
Grounding Visual Explanations—0
End-to-End Learning via a Convolutional Neural Network for Cancer Cell Line Classification—0
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography—0
Unsupervised Learning with Self-Organizing Spiking Neural Networks—0
Residual Network based Aggregation Model for Skin Lesion Classification—0
Self-produced Guidance for Weakly-supervised Object LocalizationCode0
Multi-Class Lesion Diagnosis with Pixel-wise Classification Network—0
Multicolumn Networks for Face RecognitionCode0
The Variational Homoencoder: Learning to learn high capacity generative models from few examplesCode0
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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