Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Machine Learning
›
Learning Types
›
Sparse Learning
135 directly classified papers
Papers per year
2006: 1
2007: 5
2008: 4
2009: 11
2010: 7
2011: 4
2012: 3
2013: 9
2014: 6
2015: 12
2016: 11
2017: 3
2018: 6
2019: 14
2020: 11
2021: 6
2022: 8
2023: 4
2024: 9
2025: 1
Papers
Information Directed Sampling for Sparse Linear Bandits
NIPS 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
NIPS 2021
On learning sparse vectors from mixture of responses
NIPS 2021
A Knowledge Transfer Framework for Differentially Private Sparse Learning
AAAI 2020
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning
AAAI 2020
Truncated Linear Regression in High Dimensions
NIPS 2020
Inducing Hierarchical Compositional Model by Sparsifying Generator Network
CVPR 2020
Learning Feature Sparse Principal Subspace
NIPS 2020
Sparse Learning with CART
NIPS 2020
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
NIPS 2020
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
NIPS 2020
Winning the Lottery with Continuous Sparsification
NIPS 2020
Recovery of sparse linear classifiers from mixture of responses
NIPS 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
NIPS 2020
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
NIPS 2019
Universality in Learning from Linear Measurements
NIPS 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
NIPS 2019
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator
NIPS 2019
Implicit Regularization for Optimal Sparse Recovery
NIPS 2019
Active Sampling for Open-Set Classification without Initial Annotation
AAAI 2019
Bayesian Joint Estimation of Multiple Graphical Models
NIPS 2019
The Utility of Sparse Representations for Control in Reinforcement Learning
AAAI 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
NIPS 2019
Evaluating Lottery Tickets Under Distributional Shifts
EMNLP 2019
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
CVPR 2019
<
1
2
3
4
5
6
>