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The core consistency of a compressed tensor
Georgios Tsitsikas, Evangelos E. Papalexakis
Tensor decomposition on big data has attracted significant attention recently. Among the most popular methods is a class of algorithms that leverages compression in order to reduce…
Representation Learning by Reconstructing Neighborhoods
Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis +2
Since its introduction, unsupervised representation learning has attracted a lot of attention from the research community, as it is demonstrated to be highly effective and easy-to-…
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval
Niluthpol Chowdhury Mithun, Rameswar Panda, Evangelos E. Papalexakis +1
Cross-modal retrieval between visual data and natural language description remains a long-standing challenge in multimedia. While recent image-text retrieval methods offer great pr…
OCTen: Online Compression-based Tensor Decomposition
Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang +1
Tensor decompositions are powerful tools for large data analytics as they jointly model multiple aspects of data into one framework and enable the discovery of the latent structure…
A Constrained Coupled Matrix-Tensor Factorization for Learning Time-evolving and Emerging Topics
Sanaz Bahargam, Evangelos E. Papalexakis
Topic discovery has witnessed a significant growth as a field of data mining at large. In particular, time-evolving topic discovery, where the evolution of a topic is taken into ac…
A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens
Uday Singh Saini, Evangelos E. Papalexakis
Despite their increasing popularity and success in a variety of supervised learning problems, deep neural networks are extremely hard to interpret and debug: Given and already trai…