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.