Themes
Learning deep representations from raw input data has revolutionised the field of Machine Learning in the past few years. While deep representation learning has been extremely successful in computer vision and natural …
Tags:
network, hypergraphs, multilayer networks, representation learning
Publications
Common representation learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, has been receiving a lot of attention recently. Two popular paradigms here are canonical …
Tags:
neural networks, representation learning, deep learning
Publications
Recently there has been a lot of interest in learning common representations for multiple views of data. Typically, such common representations are learned using a parallel corpus between the two views (say, 1M images …
Tags:
neural networks, representation learning, document classification