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Sparse Learning

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 161–170 of 185 papers

Title	Date	Tasks	Status	Hype
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low	Aug 10, 2017	regressionSparse Learning	CodeCode Available	0
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives	Apr 14, 2021	Sparse LearningVariable Selection	CodeCode Available	0
Probabilistic Iterative Hard Thresholding for Sparse Learning	Sep 2, 2024	Sparse Learning	CodeCode Available	0
Optimal approximation for unconstrained non-submodular minimization	May 29, 2019	Bayesian OptimizationSparse Learning	CodeCode Available	0
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning	Nov 7, 2021	DeblurringGenerative Adversarial Network	CodeCode Available	0
Feature Selection: A Data Perspective	Jan 29, 2016	feature selectionSparse Learning	CodeCode Available	0
CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion	Apr 29, 2024	Continual LearningSentiment Analysis	CodeCode Available	0
Building explainable graph neural network by sparse learning for the drug-protein binding prediction	Aug 27, 2023	Graph Neural NetworkSparse Learning	CodeCode Available	0
MyESL: Sparse learning in molecular evolution and phylogenetic analysis	Jan 9, 2025	Sparse Learning	CodeCode Available	0
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks	Aug 9, 2023	Model CompressionSparse Learning	CodeCode Available	0

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All datasets ImageNet CINIC-10 ImageNet32

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Resnet-50: 80% Sparse	Top-1 Accuracy	77.1	—	Unverified
2	Resnet-50: 90% Sparse	Top-1 Accuracy	76.4	—	Unverified
3	Resnet-50: 80% Sparse 100 epochs	Top-1 Accuracy	76	—	Unverified
4	Resnet-50: 80% Sparse 100 epochs	Top-1 Accuracy	75.84	—	Unverified
5	Resnet-50: 90% Sparse 100 epochs	Top-1 Accuracy	74.5	—	Unverified
6	Resnet-50: 90% Sparse 100 epochs	Top-1 Accuracy	73.82	—	Unverified
7	MobileNet-v1: 75% Sparse	Top-1 Accuracy	71.9	—	Unverified
8	MobileNet-v1: 90% Sparse	Top-1 Accuracy	68.1	—	Unverified
9	SINDy	Top-1 Accuracy	6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Resnet18	Sparsity	92.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Resnet18	Sparsity	93.63	—	Unverified