SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 9051–9075 of 14581 papers

TitleStatusHype
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification—0
Weakly Supervised Instance Segmentation using Class Peak ResponseCode0
AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification—0
Analysis on the Nonlinear Dynamics of Deep Neural Networks: Topological Entropy and Chaos—0
Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models—0
Incorporating Word Embeddings into Open Directory Project based Large-scale Classification—0
EmoRL: Continuous Acoustic Emotion Classification using Deep Reinforcement Learning—0
Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification—0
Confidence from Invariance to Image TransformationsCode0
Multi-scale Location-aware Kernel Representation for Object DetectionCode0
Speaker-Invariant Training via Adversarial Learning—0
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data—0
Attentional Multilabel Learning over Graphs: A Message Passing Approach—0
Learning Latent Opinions for Aspect-Level Sentiment ClassificationCode0
In-depth Question classification using Convolutional Neural Networks—0
Webly Supervised Learning for Skin Lesion Classification—0
Parallel Grid Pooling for Data AugmentationCode0
Reusing Neural Speech Representations for Auditory Emotion Recognition—0
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration—0
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion—0
Engineering a Simplified 0-Bit Consistent Weighted Sampling—0
Automatically augmenting an emotion dataset improves classification using audio—0
Learning to generate classifiersCode0
Hierarchical Transfer Convolutional Neural Networks for Image Classification—0
Joint Optimization Framework for Learning with Noisy LabelsCode0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified