no code implementations • 28 Sep 2022 • Swapnil Parekh, Devansh Shah, Pratyush Shukla
Vision Transformers are increasingly embedded in industrial systems due to their superior performance, but their memory and power requirements make deploying them to edge devices a challenging task.
no code implementations • 29 Mar 2022 • Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah
Identifying keyphrases (KPs) from text documents is a fundamental task in natural language processing and information retrieval.
1 code implementation • 25 Sep 2021 • Swapnil Parekh, Yaman Singla Kumar, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature.
no code implementations • 24 Sep 2021 • Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Junyi Jessy Li, Rajiv Ratn Shah, Changyou Chen
This is in stark contrast to recent probing studies on pre-trained representation learning models, which show that rich linguistic features such as parts-of-speech and morphology are encoded by them.
1 code implementation • 27 Dec 2020 • Swapnil Parekh, Yaman Kumar Singla, Changyou Chen, Junyi Jessy Li, Rajiv Ratn Shah
However, little research has been put to understand and interpret the black-box nature of these deep-learning based scoring models.