SOTAVerified

Sparse Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–185 of 185 papers

TitleStatusHype
A unified approach to mixed-integer optimization problems with logical constraints—0
Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph—0
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications—0
Best Subset Selection via a Modern Optimization Lens—0
Best Subset Selection with Efficient Primal-Dual Algorithm—0
Beyond L2-Loss Functions for Learning Sparse Models—0
Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing—0
Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data—0
Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective—0
Classical Verification of Quantum Learning—0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Collaborative Preference Embedding against Sparse Labels—0
Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation—0
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization—0
Nonparametric Sparse Online Learning of the Koopman Operator—0
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning—0
CRB Analysis for Mixed-ADC Based DOA Estimation—0
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning—0
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems—0
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries—0
Direct l_(2,p)-Norm Learning for Feature Selection—0
Discovering stochastic partial differential equations from limited data using variational Bayes inference—0
Dynamic Incremental Optimization for Best Subset Selection—0
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation—0
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning—0
Efficient Distributed Learning with Sparsity—0
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods—0
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention—0
Fast Learning with Nonconvex L1-2 Regularization—0
Federated Nonconvex Sparse Learning—0
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction—0
Generative Adversarial Networks for Imputing Sparse Learning Performance—0
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation—0
Show:102550
← PrevPage 4 of 4Next →
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