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Sparse Learning

Papers

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Showing 81–90 of 185 papers

TitleStatusHype
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks—0
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning—0
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation—0
Generative Adversarial Networks for Imputing Sparse Learning Performance—0
Learning governing physics from output only measurements—0
Learning High Order Feature Interactions with Fine Control Kernels—0
Learning on Hypergraphs with Sparsity—0
Learning sparse auto-encoders for green AI image coding—0
Learning Sparsity for Effective and Efficient Music Performance Question Answering—0
Classical Verification of Quantum Learning—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