SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10501–10525 of 14581 papers

TitleStatusHype
Dual Supervised Learning—0
Learning Deep Latent Spaces for Multi-Label ClassificationCode0
Classification non supervisée des données hétérogènes à large échelle—0
Deep-learning-based data page classification for holographic memory—0
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network—0
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter—0
Fine-Grained Image Classification via Combining Vision and Language—0
Efficient Correlated Topic Modeling with Topic Embedding—0
Hierarchical Multimodal Metric Learning for Multimodal Classification—0
Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets—0
Learning Deep Match Kernels for Image-Set Classification—0
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images—0
Adaptive Class Preserving Representation for Image Classification—0
A Generative Attentional Neural Network Model for Dialogue Act Classification—0
Designing Illuminant Spectral Power Distributions for Surface ClassificationCode0
Episodic CAMN: Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling—0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings—0
Context-Dependent Sentiment Analysis in User-Generated VideosCode0
LCR-Net: Localization-Classification-Regression for Human Pose—0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths—0
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features—0
Robust Visual Tracking Using Oblique Random ForestsCode0
Polyhedral Conic Classifiers for Visual Object Detection and Classification—0
Linguistically Regularized LSTM for Sentiment Classification—0
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and SegmentationCode0
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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