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Sparse Learning

Papers

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Showing 101–150 of 185 papers

TitleStatusHype
Safe Feature Pruning for Sparse High-Order Interaction Models—0
Safe Screening With Variational Inequalities and Its Application to LASSO—0
Scaling Continuous Kernels with Sparse Fourier Domain Learning—0
A Discriminative Gaussian Mixture Model with Sparsity—0
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models—0
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees—0
Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization—0
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines—0
Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach—0
Sparse Learning for Variable Selection with Structures and Nonlinearities—0
Structure learning via unstructured kernel-based M-regression—0
Sparse learning of maximum likelihood model for optimization of complex loss function—0
Sparse Learning over Infinite Subgraph Features—0
Sparse learning with CART—0
Sparse Range-constrained Learning and Its Application for Medical Image Grading—0
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces—0
Sparsified-Learning for Heavy-Tailed Locally Stationary Processes—0
Sparsifying Binary Networks—0
STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking—0
Statistical Limits of Convex Relaxations—0
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression—0
Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
Super-sparse Learning in Similarity Spaces—0
Surrogate assisted active subspace and active subspace assisted surrogate -- A new paradigm for high dimensional structural reliability analysis—0
SWAG: A Wrapper Method for Sparse Learning—0
Tensor Representation and Manifold Learning Methods for Remote Sensing Images—0
The ART of Transfer Learning: An Adaptive and Robust Pipeline—0
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning—0
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression—0
Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach—0
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity—0
Optimal Stochastic and Online Learning with Individual Iterates—0
A bio-inspired implementation of a sparse-learning spike-based hippocampus memory model—0
Accelerated Mini-batch Randomized Block Coordinate Descent Method—0
Accelerated Training for Matrix-norm Regularization: A Boosting Approach—0
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models—0
Adaptive Neural Connections for Sparsity Learning—0
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery—0
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks—0
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning—0
A Knowledge Transfer Framework for Differentially Private Sparse Learning—0
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems—0
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning—0
A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks—0
A Bayesian Lasso based Sparse Learning Model—0
A Nonconvex Approach for Structured Sparse Learning—0
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning—0
A Sparse Learning Approach to the Design of Radar Tunable Architectures with Enhanced Selectivity Properties—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