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Feature Learning

60 directly classified papers

Papers per year

Papers

Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020
Relational Learning for Joint Head and Human Detection AAAI 2020
FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection AAAI 2020
Augmenting Neural Metaphor Detection with Concreteness ACL 2020
Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition CVPR 2020
Coding Textual Inputs Boosts the Accuracy of Neural Networks EMNLP 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks EMNLP 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NIPS 2020
Instance-wise Feature Grouping NIPS 2020
Efficient Learning of Discrete Graphical Models NIPS 2020
Inverse Learning of Symmetries NIPS 2020
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification CVPR 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification EMNLP 2019
Which Melbourne? Augmenting Geocoding with Maps ACL 2018
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms ACL 2018
Multi-Image Semantic Matching by Mining Consistent Features CVPR 2018
Decorrelated Batch Normalization CVPR 2018
Fully Understanding The Hashing Trick NIPS 2018
Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour ACL 2018
Feature Hashing for Language and Dialect Identification ACL 2017
On the Consistency of Feature Selection With Lasso for Non-linear Targets ICML 2016
Learning to Detect Motion Boundaries CVPR 2015
Random Intersection Trees JMLR 2014
Scalable Non-linear Learning with Adaptive Polynomial Expansions NIPS 2014
Investigating Haze-relevant Features in A Learning Framework for Image Dehazing CVPR 2014