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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
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
NIPS 2019
Evaluating Lottery Tickets Under Distributional Shifts
EMNLP 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
NIPS 2019
Efficient online algorithms for fast-rate regret bounds under sparsity
NIPS 2018
Alternating optimization of decision trees, with application to learning sparse oblique trees
NIPS 2018
Neural Sparse Topical Coding
ACL 2018
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
NIPS 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
NIPS 2018
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
NIPS 2018
Parametric Simplex Method for Sparse Learning
NIPS 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces
CVPR 2017
From Bayesian Sparsity to Gated Recurrent Nets
NIPS 2017
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection
CVPR 2016
Aggregation of supports along the Lasso path
COLT 2016
Generalized Direct Change Estimation in Ising Model Structure
ICML 2016
The Constrained Dantzig Selector with Enhanced Consistency
JMLR 2016
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
CVPR 2016
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
CVPR 2016
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
CVPR 2016
Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity
CVPR 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
CVPR 2016
Optimal Sparse Linear Encoders and Sparse PCA
NIPS 2016
Sparse Support Recovery with Non-smooth Loss Functions
NIPS 2016
Approximating Sparse PCA from Incomplete Data
NIPS 2015
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
NIPS 2015
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