SOTAVerified

Sparse Learning

Papers

Showing 150 of 185 papers

TitleStatusHype
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretrainingCode1
Block Sparse Bayesian Learning: A Diversified SchemeCode1
Learning to Super-Resolve Blurry Images with EventsCode1
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love ConstraintsCode1
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningCode1
APP: Anytime Progressive PruningCode1
L0Learn: A Scalable Package for Sparse Learning using L0 RegularizationCode1
Learning where to learn: Gradient sparsity in meta and continual learningCode1
abess: A Fast Best Subset Selection Library in Python and RCode1
Sparse Training via Boosting Pruning Plasticity with NeuroregenerationCode1
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse TrainingCode1
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
Event Enhanced High-Quality Image RecoveryCode1
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and PythonCode1
Sparse Regression at Scale: Branch-and-Bound rooted in First-Order OptimizationCode1
Sparse Weight Activation TrainingCode1
Rigging the Lottery: Making All Tickets WinnersCode1
Sparse Networks from Scratch: Faster Training without Losing PerformanceCode1
The State of Sparsity in Deep Neural NetworksCode1
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsCode1
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network ScienceCode1
Variational Dropout Sparsifies Deep Neural NetworksCode1
Scalable Subset Selection in Linear Mixed ModelsCode0
Learning Sparsity for Effective and Efficient Music Performance Question Answering0
Optimizing Hard Thresholding for Sparse Model Discovery0
STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking0
Sparsified-Learning for Heavy-Tailed Locally Stationary Processes0
Low-Rank Matrix Regression via Least-Angle Regression0
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries0
Nonparametric Sparse Online Learning of the Koopman Operator0
MyESL: Sparse learning in molecular evolution and phylogenetic analysisCode0
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning0
GUIDE: Real-Time Human-Shaped Agents0
Scaling Continuous Kernels with Sparse Fourier Domain Learning0
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration ApproachCode0
Quasi-potential and drift decomposition in stochastic systems by sparse identification0
Probabilistic Iterative Hard Thresholding for Sparse LearningCode0
Multi-SIGATnet: A multimodal schizophrenia MRI classification algorithm using sparse interaction mechanisms and graph attention networks0
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 Performance0
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning0
Nonparametric Sparse Online Learning of the Koopman Operator0
CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity PromotionCode0
CRB Analysis for Mixed-ADC Based DOA Estimation0
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation0
Dynamic Incremental Optimization for Best Subset Selection0
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines0
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees0
Building explainable graph neural network by sparse learning for the drug-protein binding predictionCode0
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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