SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 9701–9750 of 14581 papers

TitleStatusHype
Document image classification, with a specific view on applications of patent images—0
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension—0
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification—0
Document Network Projection in Pretrained Word Embedding Space—0
Document retrieval and question answering in medical documents. A large-scale corpus challenge.—0
Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?—0
Does Distributionally Robust Supervised Learning Give Robust Classifiers?—0
Does Face Recognition Error Echo Gender Classification Error?—0
Does Haze Removal Help CNN-based Image Classification?—0
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics—0
Does Normalization Methods Play a Role for Hyperspectral Image Classification?—0
Does quantification without adjustments work?—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations—0
Do Human Rationales Improve Machine Explanations?—0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network—0
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes—0
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning—0
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images—0
Domain Adaptation for Resume Classification Using Convolutional Neural Networks—0
Domain Adaptation on Graphs by Learning Aligned Graph Bases—0
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm—0
Domain Adaptation with BERT-based Domain Classification and Data Selection—0
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification—0
Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning—0
Domain Adaptive Transfer Learning with Specialist Models—0
Domain based classification—0
Domain Based Classification of Punjabi Text Documents using Ontology and Hybrid Based Approach—0
Domain Based Classification of Punjabi Text Documents—0
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation—0
Domain Generalization in Biosignal Classification—0
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media—0
Domain-independent generation and classification of behavior traces—0
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification—0
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition—0
Domain transfer convolutional attribute embedding—0
Do More Dropouts in Pool5 Feature Maps for Better Object Detection—0
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification—0
Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation—0
Don't Fear the Bit Flips: Optimized Coding Strategies for Binary Classification—0
Don't only Feel Read: Using Scene text to understand advertisements—0
Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks—0
Doris Martin at SemEval-2019 Task 4: Hyperpartisan News Detection with Generic Semi-supervised Features—0
Double-Coupling Learning for Multi-Task Data Stream Classification—0
Double Ramp Loss Based Reject Option Classifier—0
Double Transfer Learning for Breast Cancer Histopathologic Image Classification—0
On the Need of Cross Validation for Discourse Relation Classification—0
Do We Need Fully Connected Output Layers in Convolutional Networks?—0
Do We Train on Test Data? Purging CIFAR of Near-Duplicates—0
DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books—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