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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
Polynomial Representation for Persistence Diagram
CVPR 2019
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling
CVPR 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
CVPR 2019
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
CVPR 2019
A Frequency Normalization Technique for Kindergarten Speech Recognition Inspired by the Role of foin Vowel Perception
INTERSPEECH 2019
Subspace Pooling Based Temporal Features Extraction for Audio Event Recognition
INTERSPEECH 2019
FEARS: a Feature and Representation Selection approach for Time Series Classification
ACML 2019
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering
CVPR 2019
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
CVPR 2019
Utilizing Class Information for Deep Network Representation Shaping
AAAI 2019
An Efficient Approach to Informative Feature Extraction from Multimodal Data
AAAI 2019
Learning (from) Deep Hierarchical Structure among Features
AAAI 2019
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets
AAAI 2019
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
JMLR 2019
Neural Diffusion Distance for Image Segmentation
NIPS 2019
Adaptive GNN for Image Analysis and Editing
NIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling
NIPS 2019
Gradient Information for Representation and Modeling
NIPS 2019
MonoForest framework for tree ensemble analysis
NIPS 2019
Learning metrics for persistence-based summaries and applications for graph classification
NIPS 2019
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers
ACL 2019
Attentive Single-Tasking of Multiple Tasks
CVPR 2019
Topic or Style? Exploring the Most Useful Features for Authorship Attribution
COLING 2018
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics
IJCAI 2018
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
IJCAI 2018
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