SOTAVerified

Sparse Learning

Papers

Showing 110 of 185 papers

TitleStatusHype
Event Enhanced High-Quality Image RecoveryCode1
L0Learn: A Scalable Package for Sparse Learning using L0 RegularizationCode1
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse TrainingCode1
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningCode1
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsCode1
abess: A Fast Best Subset Selection Library in Python and RCode1
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love ConstraintsCode1
APP: Anytime Progressive PruningCode1
Learning to Super-Resolve Blurry Images with EventsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Resnet-50: 80% SparseTop-1 Accuracy77.1Unverified
2Resnet-50: 90% SparseTop-1 Accuracy76.4Unverified
3Resnet-50: 80% Sparse 100 epochsTop-1 Accuracy76Unverified
4Resnet-50: 80% Sparse 100 epochsTop-1 Accuracy75.84Unverified
5Resnet-50: 90% Sparse 100 epochsTop-1 Accuracy74.5Unverified
6Resnet-50: 90% Sparse 100 epochsTop-1 Accuracy73.82Unverified
7MobileNet-v1: 75% SparseTop-1 Accuracy71.9Unverified
8MobileNet-v1: 90% SparseTop-1 Accuracy68.1Unverified
9SINDyTop-1 Accuracy6Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Sparsity92.43Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet18Sparsity93.63Unverified