SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 12001–12050 of 14581 papers

TitleStatusHype
Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency—0
Latent Dictionary Learning for Sparse Representation based Classification—0
Latent Dynamic Model with Category Transition Constraint for Opinion Classification—0
Latent Embeddings for Zero-shot Classification—0
Latent Fisher Discriminant Analysis—0
Latent Model Ensemble with Auto-localization—0
Latent-Graph Learning for Disease Prediction—0
LatentPoison -- Adversarial Attacks On The Latent Space—0
Latent space conditioning for improved classification and anomaly detection—0
Latent Support Measure Machines for Bag-of-Words Data Classification—0
Latent Topic-aware Multi-Label Classification—0
Latent-Variable Generative Models for Data-Efficient Text Classification—0
Lattice Structure of Variable Precision Rough Sets—0
Layer-Wise Adaptive Updating for Few-Shot Image Classification—0
Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations—0
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization—0
LCCT: A Semi-supervised Model for Sentiment Classification—0
LCR-Net: Localization-Classification-Regression for Human Pose—0
LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning—0
LdSM: Logarithm-depth Streaming Multi-label Decision Trees—0
Leaf Classification Using Shape, Color, and Texture Features—0
Leaf Identification Using a Deep Convolutional Neural Network—0
Leaf Image-based Plant Disease Identification using Color and Texture Features—0
Leaf segmentation through the classification of edges—0
LeanResNet: A Low-cost Yet Effective Convolutional Residual Networks—0
Learnable Histogram: Statistical Context Features for Deep Neural Networks—0
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification—0
Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis—0
Learnable Pooling Regions for Image Classification—0
Learned Features are better for Ethnicity Classification—0
Learned Region Sparsity and Diversity Also Predicts Visual Attention—0
Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data—0
Learning Activity Progression in LSTMs for Activity Detection and Early Detection—0
Learning a Deep Compact Image Representation for Visual Tracking—0
Learning a Deep ConvNet for Multi-label Classification with Partial Labels—0
Learning a Deep Hybrid Model for Semi-Supervised Text Classification—0
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes—0
Learning Algebraic Models of Quantum Entanglement—0
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification—0
Learning Anchor Planes for Classification—0
Learning and Evaluating Musical Features with Deep Autoencoders—0
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification—0
Learning and Interpreting Multi-Multi-Instance Learning Networks—0
Learning and Real-time Classification of Hand-written Digits With Spiking Neural Networks—0
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences—0
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks—0
Learning an Integrated Distance Metric for Comparing Structure of Complex Networks—0
Learning An Invariant Speech Representation—0
Learning a Representation with the Block-Diagonal Structure for Pattern Classification—0
Learning audio sequence representations for acoustic event classification—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