Feature Learning

Learning Shape Abstractions by Assembling Volumetric Primitives CVPR 2017 Learning with Previously Unseen Features IJCAI 2017 Leveraging Eventive Information for Better Metaphor Detection and Classification CoNLL 2017 Locally Linear Factorization Machines IJCAI 2017 Mining Convex Polygon Patterns with Formal Concept Analysis IJCAI 2017 Morphological Analysis without Expert Annotation EACL 2017 Multi-view Feature Learning with Discriminative Regularization IJCAI 2017 openXBOW -- Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit JMLR 2017 Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network NeurIPS 2017 Principal Variety Analysis CoRL 2017 Privileged Multi-label Learning IJCAI 2017 Provable Self-Representation Based Outlier Detection in a Union of Subspaces CVPR 2017 Random Projection Filter Bank for Time Series Data NeurIPS 2017 Regularising Non-linear Models Using Feature Side-information ICML 2017 Scalable Greedy Feature Selection via Weak Submodularity AISTATS 2017 Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces CVPR 2017 SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features SemEval 2017 Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017 Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis AISTATS 2017 Understanding Black-box Predictions via Influence Functions ICML 2017 Using Argument-based Features to Predict and Analyse Review Helpfulness EMNLP 2017 Using Context Events in Neural Network Models for Event Temporal Status Identification IJCNLP 2017 Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora EMNLP 2017 A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016