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Feature Learning

817 directly classified papers

Papers per year

Papers

Unsupervised Temporal Feature Learning Based on Sparse Coding Embedded BoAW for Acoustic Event Recognition INTERSPEECH 2018
Spectral Feature Scaling Method for Supervised Dimensionality Reduction IJCAI 2018
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing EMNLP 2018
Learning with Previously Unseen Features IJCAI 2017
Locally Linear Factorization Machines IJCAI 2017
Data-driven Random Fourier Features using Stein Effect IJCAI 2017
Mining Convex Polygon Patterns with Formal Concept Analysis IJCAI 2017
A Data-Oriented Model of Literary Language EACL 2017
An Algebra for Feature Extraction ACL 2017
Group Sparse CNNs for Question Classification with Answer Sets ACL 2017
SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features SEMEVAL 2017
Understanding Black-box Predictions via Influence Functions ICML 2017
Regularising Non-linear Models Using Feature Side-information ICML 2017
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017
Latent Feature Lasso ICML 2017
Diverse Neural Network Learns True Target Functions AISTATS 2017
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis AISTATS 2017
Enhanced Feature Extraction for Speech Detection in Media Audio INTERSPEECH 2017
openXBOW -- Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit JMLR 2017
Clustering with Hidden Markov Model on Variable Blocks JMLR 2017
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs NIPS 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network NIPS 2017
Random Projection Filter Bank for Time Series Data NIPS 2017
Deep Learning with Topological Signatures NIPS 2017
A Multidimensional Lexicon for Interpersonal Stancetaking ACL 2017