Uri Shaham and Roy Lederman.
Learning by Coincidence: Siamese Networks and Common Variable Learning.
Liwen Zhang, Subhransu Maji and Ryota Tomioka.
Jointly Learning Multiple Measures of Similarities from Triplet Comparisons.
Matthias Dorfer and Gerhard Widmer.
Towards Deep and Discriminative Canonical Correlation Analysis.
Ge Rong and James Zou.
Multi-view learning with rich components.
Lynn Houthuys, Rocco Langone and Johan A. K. Suykens.
Multi-view LS-SVM Classification.
Sheng Chai and Wenying Feng.
Multi-View Recommendation Model Using Adaptive Resonance Theory and Canonical Correlation Analysis.
Ferhan Ture, Jonghyun Choi, Hongcheng Wang and Vamsi Potluru.
Structured Shows --- "You Have Been Chopped".
Weiran Wang and Karen Livescu.
Deep Variational Canonical Correlation Analysis.
Kyoung-Woon On On, Eun-Sol Kim and Byoung-Tak Zhang.
High-order Deep Neural Networks for Learning Multi-Modal Representations.
Adhiguna Kuncoro, Akash Bharadwaj, Seungwhan Moon, Volkan Cirik, Chris Dyer and Louis-Philippe Morency.
Cross Modal Content Based Objective for Learning Adequate Multimodal Representations.
Avrim Blum and Nika Haghtalab.
Towards a General Theory of Multi-view Mixture Models.
Kiran Vodrahalli, Po-Hsuan Chen, Janice Chen, Esther Yong, Christopher Honey, Kenneth Norman, Peter Ramadge and Sanjeev Arora.
A Semantic Shared Response Model.
Roy Lederman, Ronen Talmon and Hau-Tieng Wu.
Empirical Recovery of Data Geometry using Alternating Diffusion.
Harrie Oosterhuis, Sujith Ravi and Michael Bendersky.
Semantic Video Trailers.
Jin Xie, Fan Zhu, Yandong Guo and Yi Fang.
Deep Multi-view Shape Feature Learning for 3D Shape Retrieval.
Anastasia Podosinnikova, Francis Bach and Simon Lacoste-Julien.
Beyond CCA: Moment Matching for Multi-View Models.
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Ivan Laptev,
Josef Sivic and Simon Lacoste-Julien.
Unsupervised Learning from Narrated Instruction Videos.