SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8951–8975 of 14581 papers

TitleStatusHype
Efficient Large-Scale Domain Classification with Personalized Attention—0
Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance?—0
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification ThresholdsCode0
Automated essay scoring with string kernels and word embeddings—0
Study of Residual Networks for Image Recognition—0
Stability of the Stochastic Gradient Method for an Approximated Large Scale Kernel Machine—0
Unsupervised learning of the brain connectivity dynamic using residual D-net—0
Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural NetworksCode0
Rethinking the Faster R-CNN Architecture for Temporal Action Localization—0
ADef: an Iterative Algorithm to Construct Adversarial DeformationsCode0
Adversarial Complementary Learning for Weakly Supervised Object LocalizationCode0
ECG Heartbeat Classification: A Deep Transferable RepresentationCode0
A comparative study of feature selection methods for stress hotspot classification in materials—0
Robustness via Deep Low-Rank Representations—0
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification—0
LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
Visibility graphs for image processing—0
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification—0
Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture RecognitionCode0
Unsupervised Representation Adversarial Learning Network: from Reconstruction to GenerationCode0
Multi-view Hybrid Embedding: A Divide-and-Conquer Approach—0
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation—0
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach—0
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks—0
Experiments with Universal CEFR ClassificationCode0
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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