Search Results for author: Vinod K. Kurmi

Found 5 papers, 3 papers with code

Prb-GAN: A Probabilistic Framework for GAN Modelling

no code implementations12 Jul 2021 Blessen George, Vinod K. Kurmi, Vinay P. Namboodiri

Generative adversarial networks (GANs) are very popular to generate realistic images, but they often suffer from the training instability issues and the phenomenon of mode loss.

Variational Inference

Deep Bayesian Network for Visual Question Generation

no code implementations23 Jan 2020 Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri

This is a Bayesian framework and the results show a remarkable similarity to natural questions as validated by a human study.

Natural Questions Question Generation

Revisiting Paraphrase Question Generator using Pairwise Discriminator

1 code implementation31 Dec 2019 Badri N. Patro, Dev Chauhan, Vinod K. Kurmi, Vinay P. Namboodiri

One way to ensure this is by adding constraints for true paraphrase embeddings to be close and unrelated paraphrase candidate sentence embeddings to be far.

Paraphrase Generation Sentence Embedding +2

Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator

2 code implementations COLING 2018 Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri

One way to ensure this is by adding constraints for true paraphrase embeddings to be close and unrelated paraphrase candidate sentence embeddings to be far.

Paraphrase Generation Sentence Embedding +2

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