Dynamically-Scaled Deep Canonical Correlation AnalysisPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022 Tomer Friedlander Lior Wolf |
An Online Riemannian PCA for Stochastic Canonical Correlation AnalysisNeural Information Processing Systems (NeurIPS), 2021 |
Multi-Temporal Scene Classification and Scene Change Detection with
Correlation based FusionIEEE Transactions on Image Processing (TIP), 2020 |
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word
EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
An Efficient Approach to Informative Feature Extraction from Multimodal
DataAAAI Conference on Artificial Intelligence (AAAI), 2018 |
Mutual Information Maximization for Simple and Accurate Part-Of-Speech
InductionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018 |
Acoustic Feature Learning via Deep Variational Canonical Correlation
AnalysisInterspeech (Interspeech), 2017 |