Research Papers from the Department in the year 2018-19


Research papers published in Journals

  • , A Deep Generative Framework for Paraphrase Generation.
  • , Bayesian Multi-label Learning with Sparse Features and Labels.
  • , Efficient RDF Dictionaries with B+ trees.
  • , No Modes left behind: Capturing the data distribution effectively using GANs.
  • , TwAS: Two-stage Shape Analysis for Speed and Precision.
  • , Zero-Shot Learning via Class-Conditioned Deep Generative Models.