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Methodology
← 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
Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications
JMLR 2016
Complex Linear Projection (CLP): A Discriminative Approach to Joint Feature Extraction and Acoustic Modeling
INTERSPEECH 2016
A Feature Normalisation Technique for PLLR Based Language Identification Systems
INTERSPEECH 2016
Using Linguistic Data for English and Spanish Verb-Noun Combination Identification
COLING 2016
Are Cohesive Features Relevant for Text Readability Evaluation?
COLING 2016
Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning
CVPR 2016
Unsupervised Learning of Discriminative Attributes and Visual Representations
CVPR 2016
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns
CVPR 2016
Mining 3D Key-Pose-Motifs for Action Recognition
CVPR 2016
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering
CVPR 2016
At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech
INTERSPEECH 2016
Advancing Linguistic Features and Insights by Label-informed Feature Grouping: An Exploration in the Context of Native Language Identification
COLING 2016
Multiplicative Multitask Feature Learning
JMLR 2016
Relevant sparse codes with variational information bottleneck
NIPS 2016
Object based Scene Representations using Fisher Scores of Local Subspace Projections
NIPS 2016
Estimating Mutual Information in Under-Reported Variables
PGM 2016
Extracting Discriminative Keyphrases with Learned Semantic Hierarchies
COLING 2016
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization
COLING 2016
Linear Feature Encoding for Reinforcement Learning
NIPS 2016
Greedy Feature Construction
NIPS 2016
Interpretable Distribution Features with Maximum Testing Power
NIPS 2016
On the Consistency of Feature Selection With Lasso for Non-linear Targets
ICML 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery
ICML 2016
Model-free Variable Selection in Reproducing Kernel Hilbert Space
JMLR 2016
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness
JMLR 2016
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