SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4451–4500 of 14581 papers

TitleStatusHype
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
Learning Augmentation Network via Influence Functions—0
Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web—0
Learning-based Compression for Material and Texture Recognition—0
Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification—0
Learning Bilingual Word Representations by Marginalizing Alignments—0
Learning Binary Codes and Binary Weights for Efficient Classification—0
Learning Binary Codes for High-Dimensional Data Using Bilinear Projections—0
Learning Boolean functions with concentrated spectra—0
Learning cascaded latent variable models for biomedical text classification—0
Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder—0
Learning Class-to-Image Distance with Object Matchings—0
Learning Clusterable Visual Features for Zero-Shot Recognition—0
Learning CNN filters from user-drawn image markers for coconut-tree image classification—0
Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification—0
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network—0
Learning Compact Structural Representations for Audio Events Using Regressor Banks—0
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles—0
Learning Concepts Definable in First-Order Logic with Counting—0
Learning Confidence Sets using Support Vector Machines—0
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints—0
Learning Constellation Map with Deep CNN for Accurate Modulation Recognition—0
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks—0
Learning Cross-domain Generalizable Features by Representation Disentanglement—0
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images—0
Learning Deep Context-Network Architectures for Image Annotation—0
Learning Deep Convolutional Features for MRI Based Alzheimer's Disease Classification—0
Learning Deep Match Kernels for Image-Set Classification—0
Learning Deep Matrix Representations—0
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision—0
Learning Deep NBNN Representations for Robust Place Categorization—0
Learning Deep Representation for Imbalanced Classification—0
Learning Deep Representations with Probabilistic Knowledge Transfer—0
Learning Deep Temporal Representations for Brain Decoding—0
Learning degraded image classification with restoration data fidelity—0
Learning Dense Convolutional Embeddings for Semantic Segmentation—0
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks—0
Environmental Sound Classification with Parallel Temporal-spectral Attention—0
Learning Discriminative Features using Encoder-Decoder type Deep Neural Nets—0
Learning Discriminative Features via Label Consistent Neural Network—0
Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions—0
Learning Discriminative Latent Attributes for Zero-Shot Classification—0
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image 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