Geeticka Chauhan

19 papers B 1Journal 9Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Training Large ASR Encoders With Differential Privacy. SLT Geeticka Chauhan, Steve Chien, Om Thakkar, Abhradeep Thakurta, Arun Narayanan
2024	J	`jnl`	Training Large ASR Encoders with Differential Privacy. CoRR Geeticka Chauhan, Steve Chien, Om Thakkar, Abhradeep Thakurta, Arun Narayanan
2023	J	`jnl`	Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
2022	—	`conf`	RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2022	J	`jnl`	RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
2021	J	`jnl`	Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
2021	—	`conf`	How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. ACL/IJCNLP (Findings) Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea
2021	J	`jnl`	How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. CoRR Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea
2020	—	`conf`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	J	`jnl`	Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
2020	—	`conf`	MIMIC-Extract: a data extraction, preprocessing, and representation pipeline for MIMIC-III. CHIL Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Marzyeh Ghassemi, Michael C. Hughes, Tristan Naumann
2019	—	`conf`	A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains. WNLP@ACL Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
2019	J	`jnl`	MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III. CoRR Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi
2019	—	`conf`	REflex: Flexible Framework for Relation Extraction in Multiple Domains. BioNLP@ACL Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
2019	J	`jnl`	REflex: Flexible Framework for Relation Extraction in Multiple Domains. CoRR Geeticka Chauhan, Matthew B. A. McDermott, Peter Szolovits
2018	B	`conf`	A New Approach to Animacy Detection. COLING Labiba Jahan, Geeticka Chauhan, Mark A. Finlayson
2018	—	`conf`	MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network. SemEval@NAACL-HLT Di Jin, Franck Dernoncourt, Elena Sergeeva, Matthew B. A. McDermott, Geeticka Chauhan
2018	J	`jnl`	Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation. CoRR Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi
2017	—	`conf`	Building on Word Animacy to Determine Coreference Chain Animacy in Cultural Narratives. AIIDE Workshops Labiba Jahan, Geeticka Chauhan, Mark A. Finlayson