| Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning B Gunel, J Du, A Conneau, V Stoyanov International Conference on Learning Representations, 2021 | 577* | 2021 |
| Quantitative magnetic particle imaging monitors the transplantation, biodistribution, and clearance of stem cells in vivo B Zheng, MP von See, E Yu, B Gunel, K Lu, T Vazin, DV Schaffer, ... Theranostics 6 (3), 291, 2016 | 353 | 2016 |
| Learning mixed-curvature representations in product spaces A Gu, F Sala, B Gunel, C Ré International Conference on Learning Representations, 2019 | 256 | 2019 |
| Self-training improves pre-training for natural language understanding J Du, E Grave, B Gunel, V Chaudhary, O Celebi, M Auli, V Stoyanov, ... Conference of the North American Chapter of the Association for …, 2021 | 179 | 2021 |
| Magnetic particle imaging B Zheng, K Lu, JJ Konkle, DW Hensley, P Keselman, RD Orendorff, ... Design and Applications of Nanoparticles in Biomedical Imaging, 69-93, 2017 | 73* | 2017 |
| Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization B Gunel, C Zhu, M Zeng, X Huang Conference on Neural Information Processing Systems (NeurIPS), Knowledge …, 2019 | 55 | 2019 |
| Optimal broadband noise matching to inductive sensors: application to magnetic particle imaging B Zheng, PW Goodwill, N Dixit, D Xiao, W Zhang, B Gunel, K Lu, GC Scott, ... IEEE transactions on biomedical circuits and systems 11 (5), 1041-1052, 2017 | 34 | 2017 |
| VORTEX: Physics-Driven Data Augmentations for Consistency Training for Robust Accelerated MRI Reconstruction AD Desai*, B Gunel*, BM Ozturkler, H Beg, S Vasanawala, ... International Conference on Medical Imaging with Deep Learning, 2022 | 30* | 2022 |
| Glean: Structured Extractions from Templatic Documents S Tata, N Potti, JB Wendt, LB Costa, M Najork, B Gunel Proceedings of the International Conference on Very Large Databases (VLDB …, 2021 | 20 | 2021 |
| Improving data-efficiency and robustness of medical imaging segmentation using inpainting-based self-supervised learning J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ... Bioengineering 10 (2), 207, 2023 | 18* | 2023 |
| SSFD: Self-supervised feature distance as an MR image reconstruction quality metric PM Adamson, B Gunel, J Dominic, AD Desai, D Spielman, S Vasanawala, ... NeurIPS 2021 workshop on deep learning and inverse problems, 2021 | 18* | 2021 |
| Strum: Extractive aspect-based contrastive summarization B Gunel, S Tata, M Najork Companion Proceedings of the ACM Web Conference 2023, 2023 | 7* | 2023 |
| Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction B Gunel*, A Sahiner*, AD Desai, AS Chaudhari, S Vasanawala, M Pilanci, ... International Conference on Medical Image Computing and Computer Assisted …, 2022 | 6 | 2022 |
| Data-Efficient Information Extraction from Form-Like Documents B Gunel, N Potti, S Tata, JB Wendt, M Najork, J Xie ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Document …, 2021 | 3 | 2021 |
| HyperE: Hyperbolic Embeddings for Entities B Gunel, F Sala, A Gu, C Ré https://hazyresearch.stanford.edu/hyperE/, 2018 | 3* | 2018 |
| Weakly Supervised MR Image Reconstruction using Untrained Neural Networks B Gunel, M Mardani, A Chaudhari, S Vasanawala, J Pauly Proceedings of International Society of Magnetic Resonance in Medicine, 2021 | 2 | 2021 |
| Question answering on squad B Gunel, C Alkan CS224N, 2018 | 2 | 2018 |
| SUMIE: A Synthetic Benchmark for Incremental Entity Summarization E Hwang, Y Zhou, B Gunel, JB Wendt, S Tata COLING, 2024 | 1 | 2024 |
| Leveraging Prior Knowledge and Structure for Data-Efficient Machine Learning B Gunel Stanford University, 2022 | 1 | 2022 |
| Robust relational graph convolutional networks B Gunel | 1 | 2019 |
Arjun DesaiResearcher, Stanford UniversityVerified email at stanford.edu