SOTAVerified

Sparse Learning

Papers

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Showing 176–185 of 185 papers

TitleStatusHype
Efficient Distributed Learning with Sparsity—0
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods—0
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
Fast Learning with Nonconvex L1-2 Regularization—0
Federated Nonconvex Sparse Learning—0
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction—0
Generative Adversarial Networks for Imputing Sparse Learning Performance—0
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation—0
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All datasetsImageNetCINIC-10ImageNet32

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Resnet-50: 80% SparseTop-1 Accuracy77.1—Unverified
2Resnet-50: 90% SparseTop-1 Accuracy76.4—Unverified
3Resnet-50: 80% Sparse 100 epochsTop-1 Accuracy76—Unverified
4Resnet-50: 80% Sparse 100 epochsTop-1 Accuracy75.84—Unverified
5Resnet-50: 90% Sparse 100 epochsTop-1 Accuracy74.5—Unverified
6Resnet-50: 90% Sparse 100 epochsTop-1 Accuracy73.82—Unverified
7MobileNet-v1: 75% SparseTop-1 Accuracy71.9—Unverified
8MobileNet-v1: 90% SparseTop-1 Accuracy68.1—Unverified
9SINDyTop-1 Accuracy6—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Sparsity92.43—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Sparsity93.63—Unverified