Sparse Learning
165 papers
Papers per year
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6
5
12
9
11
5
12
11
12
11
3
7
15
11
6
9
4
10
4
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Papers
Evaluating Lottery Tickets Under Distributional Shifts
EMNLP 2019
Implicit Regularization for Optimal Sparse Recovery
NeurIPS 2019
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
CVPR 2019
Outlier-robust estimation of a sparse linear model using ℓ_1-penalized Huber's M-estimator
NeurIPS 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
NeurIPS 2019
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
NeurIPS 2019
The Utility of Sparse Representations for Control in Reinforcement Learning
AAAI 2019
Universality in Learning from Linear Measurements
NeurIPS 2019
Using Unknown Occluders to Recover Hidden Scenes
CVPR 2019
Alternating optimization of decision trees, with application to learning sparse oblique trees
NeurIPS 2018
Efficient online algorithms for fast-rate regret bounds under sparsity
NeurIPS 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
NeurIPS 2018
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals
NeurIPS 2018
Neural Sparse Topical Coding
ACL 2018
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
NeurIPS 2018
Sparse Learning in Gaussian Chain Graphs for State Space Models
PGM 2018
From Bayesian Sparsity to Gated Recurrent Nets
NeurIPS 2017
Parametric Simplex Method for Sparse Learning
NeurIPS 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces
CVPR 2017
Aggregation of supports along the Lasso path
COLT 2016
Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity
CVPR 2016
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection
CVPR 2016
Generalized Direct Change Estimation in Ising Model Structure
ICML 2016
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
CVPR 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
CVPR 2016