SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 5251–5300 of 14581 papers

TitleStatusHype
CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data—0
CNN training with graph-based sample preselection: application to handwritten character recognition—0
CNN vs ELM for Image-Based Malware Classification—0
CNN with large memory layers—0
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits—0
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification—0
Coarse-Grain Cluster Analysis of Tensors with Application to Climate Biome Identification—0
Coarse Semantic Classification of Rare Nouns Using Cross-Lingual Data and Recurrent Neural Networks—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
Coarse to Fine: Multi-label Image Classification with Global/Local Attention—0
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding—0
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs—0
Cocktail Party Processing via Structured Prediction—0
Coded Illumination and Imaging for Fluorescence Based Classification—0
Coding for Crowdsourced Classification with XOR Queries—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
CodNN -- Robust Neural Networks From Coded Classification—0
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition—0
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification—0
COFGA: Classification Of Fine-Grained Features In Aerial Images—0
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings—0
CogALex-V Shared Task: HsH-Supervised -- Supervised similarity learning using entry wise product of context vectors—0
Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images—0
Cognitive Radar Antenna Selection via Deep Learning—0
Cognitive state classification using transformed fMRI data—0
CogSciK: Clustering for Cognitive Science Motivated Decision Making—0
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision—0
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization—0
Cold-start Playlist Recommendation with Multitask Learning—0
Federated and continual learning for classification tasks in a society of devices—0
Collaborative Filtering and Multi-Label Classification with Matrix Factorization—0
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks—0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data—0
Collaborative Method for Incremental Learning on Classification and Generation—0
Collaborative Multi-sensor Classification via Sparsity-based Representation—0
Collaborative Representation based Classification for Face Recognition—0
Collaborative representation-based robust face recognition by discriminative low-rank representation—0
Collaborative Representation Classification Ensemble for Face Recognition—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models—0
Collage Inference: Using Coded Redundancy for Low Variance Distributed Image Classification—0
Collective Classification for Fine-grained Information Status—0
Collective Document Classification with Implicit Inter-document Semantic Relationships—0
Collective Sentiment Classification Based on User Leniency and Product Popularity—0
Collective Stance Classification of Posts in Online Debate Forums—0
Collective Vertex Classification Using Recursive Neural Network—0
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations—0
Color: A Crucial Factor for Aesthetic Quality Assessment in a Subjective Dataset of Paintings—0
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey—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