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Sparse Learning

Papers

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Showing 51–100 of 185 papers

TitleStatusHype
Best Subset Selection with Efficient Primal-Dual Algorithm—0
A bio-inspired implementation of a sparse-learning spike-based hippocampus memory model—0
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations—0
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningCode1
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications—0
APP: Anytime Progressive PruningCode1
Infinite-Dimensional Sparse Learning in Linear System Identification—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
L0Learn: A Scalable Package for Sparse Learning using L0 RegularizationCode1
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse LearningCode0
Learning where to learn: Gradient sparsity in meta and continual learningCode1
abess: A Fast Best Subset Selection Library in Python and RCode1
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation—0
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data—0
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression—0
Improving Sequential Recommendation Consistency with Self-Supervised Imitation—0
Sparse Training via Boosting Pruning Plasticity with NeuroregenerationCode1
Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis—0
Grouped Variable Selection with Discrete Optimization: Computational and Statistical PerspectivesCode0
Learning where to learn—0
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse TrainingCode1
Bayesian data-driven discovery of partial differential equations with variable coefficients—0
Federated Nonconvex Sparse Learning—0
Approximate Post-Selective Inference for Regression with the Group LASSO—0
Similarity Preserving Unsupervised Feature Selection based on Sparse LearningCode0
KNN Classification with One-step ComputationCode0
Thunder: a Fast Coordinate Selection Solver for Sparse LearningCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning—0
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery—0
Event Enhanced High-Quality Image RecoveryCode1
Fast OSCAR and OWL Regression via Safe Screening RulesCode0
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications—0
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and PythonCode1
SWAG: A Wrapper Method for Sparse Learning—0
Sparse learning with CART—0
A Sparse Learning Approach to the Design of Radar Tunable Architectures with Enhanced Selectivity Properties—0
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order OptimizationCode1
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Adaptive Neural Connections for Sparsity Learning—0
Learning High Order Feature Interactions with Fine Control Kernels—0
On Newton Screening—0
Sparse Weight Activation TrainingCode1
Optimal Stochastic and Online Learning with Individual Iterates—0
Rigging the Lottery: Making All Tickets WinnersCode1
A Discriminative Gaussian Mixture Model with Sparsity—0
Collaborative Preference Embedding against Sparse LabelsCode0
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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