New Methods & Metrics for LFQA tasks

no code implementations • 26 Dec 2021 • Suchismit Mahapatra, Vladimir Blagojevic, Pablo Bertorello, Prasanna Kumar

Long-form question answering (LFQA) tasks require retrieving the documents pertinent to a query, using them to form a paragraph-length answer.

Long Form Question Answering Natural Language Inference

Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck

no code implementations • 22 Apr 2020 • Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen

Variational autoencoders (VAEs) are essential tools in end-to-end representation learning.

Language Modelling Machine Translation +5

Learning Manifolds from Non-stationary Streaming Data

no code implementations • 24 Apr 2018 • Suchismit Mahapatra, Varun Chandola

We present theoretical results to show that the quality of a manifold asymptotically converges as the size of data increases.

Dimensionality Reduction GPR +1

S-Isomap++: Multi Manifold Learning from Streaming Data

no code implementations • 17 Oct 2017 • Suchismit Mahapatra, Varun Chandola

Manifold learning based methods have been widely used for non-linear dimensionality reduction (NLDR).

Dimensionality Reduction

Error Metrics for Learning Reliable Manifolds from Streaming Data

no code implementations • 13 Nov 2016 • Frank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola

In this paper, we argue that a stable manifold can be learned using only a fraction of the stream, and the remaining stream can be mapped to the manifold in a significantly less costly manner.

Dimensionality Reduction