SOTAVerified

Sparse Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 185 papers

TitleStatusHype
Scalable Subset Selection in Linear Mixed ModelsCode0
Learning Sparsity for Effective and Efficient Music Performance Question Answering—0
Optimizing Hard Thresholding for Sparse Model Discovery—0
STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking—0
Sparsified-Learning for Heavy-Tailed Locally Stationary Processes—0
Low-Rank Matrix Regression via Least-Angle Regression—0
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries—0
Nonparametric Sparse Online Learning of the Koopman Operator—0
MyESL: Sparse learning in molecular evolution and phylogenetic analysisCode0
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning—0
GUIDE: Real-Time Human-Shaped Agents—0
Scaling Continuous Kernels with Sparse Fourier Domain Learning—0
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration ApproachCode0
Quasi-potential and drift decomposition in stochastic systems by sparse identification—0
Probabilistic Iterative Hard Thresholding for Sparse LearningCode0
Multi-SIGATnet: A multimodal schizophrenia MRI classification algorithm using sparse interaction mechanisms and graph attention networks—0
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationCode0
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series ForecastingCode0
Generative Adversarial Networks for Imputing Sparse Learning Performance—0
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretrainingCode1
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning—0
Nonparametric Sparse Online Learning of the Koopman Operator—0
CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity PromotionCode0
CRB Analysis for Mixed-ADC Based DOA Estimation—0
Block Sparse Bayesian Learning: A Diversified SchemeCode1
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation—0
Dynamic Incremental Optimization for Best Subset Selection—0
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines—0
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees—0
Building explainable graph neural network by sparse learning for the drug-protein binding predictionCode0
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive RegularizationCode0
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural NetworksCode0
Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization—0
Discovering stochastic partial differential equations from limited data using variational Bayes inference—0
Classical Verification of Quantum Learning—0
Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces—0
The ART of Transfer Learning: An Adaptive and Robust Pipeline—0
Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective—0
Learning to Super-Resolve Blurry Images with EventsCode1
Video-Text Retrieval by Supervised Sparse Multi-Grained LearningCode0
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity—0
Learning sparse auto-encoders for green AI image coding—0
Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited EdgeCode0
Learning governing physics from output only measurements—0
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love ConstraintsCode1
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems—0
Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data—0
Sparsifying Binary Networks—0
Show:102550
← PrevPage 1 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