Beliz Gunel

According to our database, Beliz Gunel authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

STRUM-LLM: Attributed and Structured Contrastive Summarization.

Beliz Gunel, James B. Wendt, Jing Xie, Yichao Zhou, Nguyen Vo, Zachary Fisher, Sandeep Tata

CoRR, 2024

2023

STRUM: Extractive Aspect-Based Contrastive Summarization.

Beliz Gunel, Sandeep Tata, Marc Najork

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning.

Jeffrey Dominic, Nandita Bhaskhar, Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Beliz Gunel, Garry E. Gold, Brian A. Hargreaves, Leon Lenchik, Robert Boutin, Akshay S. Chaudhari

CoRR, 2022

Data-Efficient Information Extraction from Form-Like Documents.

Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie

CoRR, 2022

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction.

Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.

Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Glean: Structured Extractions from Templatic Documents.

Sandeep Tata, Navneet Potti, James B. Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel

Proc. VLDB Endow., 2021

Self-training Improves Pre-training for Natural Language Understanding.

Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.

Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization.

Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang

CoRR, 2020

2019

Learning Mixed-Curvature Representations in Product Spaces.

Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging.

Bo Zheng, Patrick W. Goodwill, Neerav Dixit, Di Xiao, Wencong Zhang, Beliz Gunel, Kuan Lu, Greig C. Scott, Steven M. Conolly

IEEE Trans. Biomed. Circuits Syst., 2017