SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8451–8475 of 14581 papers

TitleStatusHype
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
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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