Search Results for author: Abhyuday Jagannatha

Found 11 papers, 3 papers with code

Object-Aware Cropping for Self-Supervised Learning

1 code implementation1 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.

Data Augmentation Object +3

Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy

no code implementations25 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.

Continual Learning Network Intrusion Detection

Calibrating Structured Output Predictors for Natural Language Processing

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.

named-entity-recognition Named Entity Recognition +3

Continual Domain-Tuning for Pretrained Language Models

no code implementations5 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.

Continual Learning

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances

no code implementations26 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.

Open Information Extraction

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

1 code implementation25 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.

BIG-bench Machine Learning Event Detection

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