29 citations · 50 across the 4 of their papers we have counts for
4 papers
AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning
Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado +1
In this paper we investigate transformer architectures designed for partially observable online reinforcement learning. The self-attention mechanism in the transformer architecture…
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
Subhojeet Pramanik, Shashank Mujumdar, Hima Patel
Recent approaches in literature have exploited the multi-modal information in documents (text, layout, image) to serve specific downstream document tasks. However, they are limited…
OmniNet: A unified architecture for multi-modal multi-task learning
Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Transformer is a popularly used neural network architecture, especially for language understanding. We introduce an extended and unified architecture that can be used for tasks inv…
Text normalization using memory augmented neural networks
Subhojeet Pramanik, Aman Hussain
We perform text normalization, i.e. the transformation of words from the written to the spoken form, using a memory augmented neural network. With the addition of dynamic memory ac…