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← Core Methods
Machine Learning
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Core Methods
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Feature Learning
817 directly classified papers
Papers per year
2001: 1
2003: 3
2005: 2
2006: 15
2007: 12
2008: 18
2009: 6
2010: 16
2011: 20
2012: 32
2013: 76
2014: 34
2015: 23
2016: 34
2017: 47
2018: 31
2019: 46
2020: 57
2021: 43
2022: 58
2023: 70
2024: 93
2025: 79
2026: 1
Papers
Nearest Neighbors Using Compact Sparse Codes
ICML 2014
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
COLT 2014
Learning Sparsely Used Overcomplete Dictionaries
COLT 2014
Kernel Mean Estimation via Spectral Filtering
NIPS 2014
Sparse Polynomial Learning and Graph Sketching
NIPS 2014
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
NIPS 2014
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
NIPS 2014
Quality-based Multimodal Classification using Tree-Structured Sparsity
CVPR 2014
Projective dictionary pair learning for pattern classification
NIPS 2014
On the relations of LFPs & Neural Spike Trains
NIPS 2014
Scalable Non-linear Learning with Adaptive Polynomial Expansions
NIPS 2014
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
NIPS 2014
Compact Random Feature Maps
ICML 2014
Learning Important Spatial Pooling Regions for Scene Classification
CVPR 2014
On Multiplicative Multitask Feature Learning
NIPS 2014
On Sparse Gaussian Chain Graph Models
NIPS 2014
Exact Rule Learning via Boolean Compressed Sensing
ICML 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration
ICML 2013
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
AISTATS 2013
A Max-Margin Perspective on Sparse Representation-Based Classification
ICCV 2013
Recognising Human-Object Interaction via Exemplar Based Modelling
ICCV 2013
Video Synopsis by Heterogeneous Multi-source Correlation
ICCV 2013
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization
ICCV 2013
Robust Dictionary Learning by Error Source Decomposition
ICCV 2013
The Interestingness of Images
ICCV 2013
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