15 citations · 33 across the 7 of their papers we have counts for
7 papers
TubiFM: Unified Item, Carousel, and Search Ranking for Streaming Discovery
Alexandre Salle, Chenglei Niu, Suchismit Mahapatra +7
Personalized discovery systems often train separate models for item ranking, carousel ranking, and search, even though these tasks expose complementary signals from the same viewer…
New Methods & Metrics for LFQA tasks
Suchismit Mahapatra, Vladimir Blagojevic, Pablo Bertorello +1
Long-form question answering (LFQA) tasks require retrieving the documents pertinent to a query, using them to form a paragraph-length answer. Despite considerable progress in LFQA…
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck
Yang Zhao, Ping Yu, Suchismit Mahapatra +2
Variational autoencoders (VAEs) are essential tools in end-to-end representation learning. However, the sequential text generation common pitfall with VAEs is that the model tends…
Learning Manifolds from Non-stationary Streaming Data
Suchismit Mahapatra, Varun Chandola
Streaming adaptations of manifold learning based dimensionality reduction methods, such as Isomap, are based on the assumption that a small initial batch of observations is enough…
Modeling Graphs Using a Mixture of Kronecker Models
Suchismit Mahapatra, Varun Chandola
Generative models for graphs are increasingly becoming a popular tool for researchers to generate realistic approximations of graphs. While in the past, focus was on generating gra…
S-Isomap++: Multi Manifold Learning from Streaming Data
Suchismit Mahapatra, Varun Chandola
Manifold learning based methods have been widely used for non-linear dimensionality reduction (NLDR). However, in many practical settings, the need to process streaming data is a c…