SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5876–5900 of 14581 papers

TitleStatusHype
Training a Restricted Boltzmann Machine for Classification by Labeling Model Samples—0
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision—0
Training CNNs with Low-Rank Filters for Efficient Image Classification—0
Training Convolutional Networks with Noisy Labels—0
Training Convolutional Networks with Web Images—0
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization—0
Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments—0
Training few-shot classification via the perspective of minibatch and pretraining—0
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification—0
Training Medical Image Analysis Systems like Radiologists—0
Training Multimodal Systems for Classification with Multiple Objectives—0
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour—0
Training Neural Networks with Stochastic Hessian-Free Optimization—0
Training Object Detectors With Noisy Data—0
Training of CC4 Neural Network with Spread Unary Coding—0
Training on the test set? An analysis of Spampinato et al. [arXiv:1609.00344]—0
Training Set Effect on Super Resolution for Automated Target Recognition—0
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks—0
Training Sparse Neural Networks—0
Training with reduced precision of a support vector machine model for text classification—0
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models—0
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering—0
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection—0
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks—0
Transduction with Matrix Completion: Three Birds with One Stone—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