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Sparse Learning

Papers

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Showing 51–75 of 185 papers

TitleStatusHype
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
Infinite-Dimensional Sparse Learning in Linear System Identification—0
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization—0
Communication-efficient Algorithm for Distributed Sparse Learning via Two-way Truncation—0
Fast Learning with Nonconvex L1-2 Regularization—0
Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing—0
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models—0
A Nonconvex Approach for Structured Sparse Learning—0
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery—0
A Bayesian Lasso based Sparse Learning Model—0
Adaptive Neural Connections for Sparsity Learning—0
Approximate Post-Selective Inference for Regression with the Group LASSO—0
GUIDE: Real-Time Human-Shaped Agents—0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks—0
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data—0
Homotopy Parametric Simplex Method for Sparse Learning—0
HONOR: Hybrid Optimization for NOn-convex Regularized problems—0
Collaborative Preference Embedding against Sparse Labels—0
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation—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