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Journal Articles
- 2019
[j3]Sil C. van de Leemput
, Midas Meijs, Ajay Patel, Frederick J. A. Meijer, Bram van Ginneken, Rashindra Manniesing:
Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks. IEEE Access 7: 51557-51569 (2019)- [j2]Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT. IEEE Access 7: 92355-92364 (2019) - 2017
- [j1]Ajay Patel, Bram van Ginneken, Frederick J. A. Meijer, Ewoud J. van Dijk, Mathias Prokop, Rashindra Manniesing:
Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients. Medical Image Anal. 36: 216-228 (2017)
Conference and Workshop Papers
- 2024
- [c9]Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown:
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. AAAI 2024: 18216-18224 - [c8]Ajay Patel, Colin Raffel, Chris Callison-Burch:
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. ACL (1) 2024: 3781-3799 - [c7]Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu:
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. EMNLP (Findings) 2024: 13376-13390 - 2023
- [c6]Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch:
Learning Interpretable Style Embeddings via Prompting LLMs. EMNLP (Findings) 2023: 15270-15290 - [c5]Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch:
Bidirectional Language Models Are Also Few-shot Learners. ICLR 2023 - 2018
- [c4]Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki:
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. EMNLP (Demonstration) 2018: 120-126 - [c3]Ajay Patel, Rashindra Manniesing:
A convolutional neural network for intracranial hemorrhage detection in non-contrast CT. Medical Imaging: Computer-Aided Diagnosis 2018: 105751B - 2017
- [c2]Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing:
Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network. Medical Imaging: Computer-Aided Diagnosis 2017: 1013420 - 2006
- [c1]Adam Trachtenberg, Chester Karwatowski, Ajay Patel, Rob Barrett, Wendell Baker, Savitha Srinivasan:
Business Process Automation and XML Standards: Is there a Semantic Gap? CEC/EEE 2006: 59
Data and Artifacts
- 2023
- [d1]Ajay Patel, Charan KS, Prasansa Bhagat, Kshitij Sharma, C. Gururaj:
Hand Gesture Data. IEEE DataPort, 2023
Informal and Other Publications
- 2024
- [i12]Ajay Patel, Colin Raffel, Chris Callison-Burch:
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. CoRR abs/2402.10379 (2024) - [i11]Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter:
Large Language Models Can Self-Improve At Web Agent Tasks. CoRR abs/2405.20309 (2024) - [i10]Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu:
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. CoRR abs/2406.15586 (2024) - [i9]Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen R. McKeown:
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution. CoRR abs/2409.07072 (2024) - [i8]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - 2023
- [i7]Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari:
Leveraging Large Language Models in Conversational Recommender Systems. CoRR abs/2305.07961 (2023) - [i6]Ajay Patel, Delip Rao, Chris Callison-Burch:
Learning Interpretable Style Embeddings via Prompting LLMs. CoRR abs/2305.12696 (2023) - [i5]Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown:
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. CoRR abs/2308.15459 (2023) - 2022
- [i4]Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch:
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation. CoRR abs/2209.02821 (2022) - [i3]Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch:
Bidirectional Language Models Are Also Few-shot Learners. CoRR abs/2209.14500 (2022) - [i2]Ajay Patel, Nicholas Andrews, Chris Callison-Burch:
Low-Resource Authorship Style Transfer with In-Context Learning. CoRR abs/2212.08986 (2022) - 2018
- [i1]Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki:
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. CoRR abs/1810.11190 (2018)
Coauthor Index
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