SOTAVerified

Sparse Learning

Papers

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Showing 51–75 of 185 papers

TitleStatusHype
Learning task structure via sparsity grouped multitask learningCode0
Sparse learning of stochastic dynamic equationsCode0
Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing—0
Fast Learning with Nonconvex L1-2 Regularization—0
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning—0
Beyond L2-Loss Functions for Learning Sparse Models—0
A Knowledge Transfer Framework for Differentially Private Sparse Learning—0
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods—0
Efficient Distributed Learning with Sparsity—0
Best Subset Selection with Efficient Primal-Dual Algorithm—0
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning—0
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation—0
Best Subset Selection via a Modern Optimization Lens—0
Dynamic Incremental Optimization for Best Subset Selection—0
Discovering stochastic partial differential equations from limited data using variational Bayes inference—0
Direct l_(2,p)-Norm Learning for Feature Selection—0
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications—0
Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph—0
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models—0
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries—0
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems—0
A unified approach to mixed-integer optimization problems with logical constraints—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