1 code implementation • 1 Dec 2021 • Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Janit Anjaria, Abhishek Sharma, David Jacobs, Dilip Krishnan
This assumption is mostly satisfied in datasets such as ImageNet where there is a large, centered object, which is highly likely to be present in random crops of the full image.
no code implementations • 16 Apr 2021 • Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu
We show that membership inference attacks on CLMs lead to non-trivial privacy leakages of up to 7%.
no code implementations • 25 Jan 2021 • Ajesh Koyatan Chathoth, Abhyuday Jagannatha, Stephen Lee
Internet of Things (IoT) devices are becoming increasingly popular and are influencing many application domains such as healthcare and transportation.
no code implementations • 10 Apr 2020 • Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David Jacobs, Hal Daumé III
Therefore, we propose a novel evaluation benchmark to assess the performance of existing AQG systems for long-text answers.
no code implementations • ACL 2020 • Abhyuday Jagannatha, Hong Yu
Additionally, we show that our calibration method can also be used as an uncertainty-aware, entity-specific decoding step to improve the performance of the underlying model at no additional training cost or data requirements.
no code implementations • 5 Apr 2020 • Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu
Pre-trained language models (LM) such as BERT, DistilBERT, and RoBERTa can be tuned for different domains (domain-tuning) by continuing the pre-training phase on a new target domain corpus.
no code implementations • NAACL 2019 • Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas
We explore active learning (AL) for improving the accuracy of new domains in a natural language understanding (NLU) system.
1 code implementation • EMNLP 2016 • Abhyuday Jagannatha, Hong Yu
In this work we experimented with various CRF based structured learning models with Recurrent Neural Networks.
no code implementations • 26 Jun 2016 • Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu
Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has been an active research.
1 code implementation • 25 Jun 2016 • Abhyuday Jagannatha, Hong Yu
Sequence labeling for extraction of medical events and their attributes from unstructured text in Electronic Health Record (EHR) notes is a key step towards semantic understanding of EHRs.