Shubham Toshniwal
3 papers in the PaperMetrix corpus
Papers by this author
-
PeTra: A Sparsely Supervised Memory Model for People Tracking
2020
We propose PeTra, a memory-augmented neural network designed to track entities in its memory slots. PeTra is trained using sparse annotation from the GAP pronoun resolution dataset and outperforms a prior memory model on the …
-
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
2019 · arXiv (Cornell University)
Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models are composed of modular building blocks that are flexible and easily extensible, …
-
Multilingual Speech Recognition with a Single End-to-End Model
2018
Training a conventional automatic speech recognition (ASR) system to support multiple languages is challenging because the sub-word unit, lexicon and word inventories are typically language specific. In contrast, sequence-to-sequence models are well suited for multilingual …