Ajay Patel

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Networks

Tissue Segmentation

Authorship Attribution

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

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 (2024)
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)
Ajay Patel, Colin Raffel, Chris Callison-Burch
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. CoRR (2024)
Ajay Patel, Colin Raffel, Chris Callison-Burch
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. ACL (1) (2024)
Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen McKeown, Zhou Yu
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. CoRR (2024)
Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch
Learning Interpretable Style Embeddings via Prompting LLMs. EMNLP (Findings) (2023)
Luke Friedman, Sameer Ahuja, David Allen, Terry 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 (2023)
Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. CoRR (2023)
Ajay Patel, Delip Rao, Chris Callison-Burch
Learning Interpretable Style Embeddings via Prompting LLMs. CoRR (2023)
Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch
Bidirectional Language Models Are Also Few-shot Learners. ICLR (2023)
Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation. CoRR (2022)
Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch
Bidirectional Language Models Are Also Few-shot Learners. CoRR (2022)
Ajay Patel, Nicholas Andrews, Chris Callison-Burch
Low-Resource Authorship Style Transfer with In-Context Learning. CoRR (2022)
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 (2019)
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 (2019)
Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. EMNLP (Demonstration) (2018)
Ajay Patel, Rashindra Manniesing
A convolutional neural network for intracranial hemorrhage detection in non-contrast CT. Medical Imaging: Computer-Aided Diagnosis (2018)
Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. CoRR (2018)
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)
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 (2017)
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)