SOTAVerified

Sparse Learning

Papers

Showing 2650 of 185 papers

TitleStatusHype
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization ProblemsCode0
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse LearningCode0
Sparse learning of stochastic dynamic equationsCode0
Building explainable graph neural network by sparse learning for the drug-protein binding predictionCode0
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationCode0
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoostCode0
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend FilteringCode0
Probabilistic Iterative Hard Thresholding for Sparse LearningCode0
Scalable Subset Selection in Linear Mixed ModelsCode0
Optimal approximation for unconstrained non-submodular minimizationCode0
MyESL: Sparse learning in molecular evolution and phylogenetic analysisCode0
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration ApproachCode0
KNN Classification with One-step ComputationCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
Grouped Variable Selection with Discrete Optimization: Computational and Statistical PerspectivesCode0
CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity PromotionCode0
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive RegularizationCode0
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T TrackingCode0
Learning task structure via sparsity grouped multitask learningCode0
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural NetworksCode0
Feature Selection: A Data PerspectiveCode0
Fast OSCAR and OWL Regression via Safe Screening RulesCode0
Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited EdgeCode0
From safe screening rules to working sets for faster Lasso-type solversCode0
Similarity Preserving Unsupervised Feature Selection based on Sparse LearningCode0
Show:102550
← PrevPage 2 of 8Next →

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