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2020 – today
- 2024
[j2]Adrian Serapio, Gunvant R. Chaudhari, Cody Savage, Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jamie Lee Schroeder, Jonathan Liu, Adam Yala, Jae Ho Sohn:
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. BMC Medical Imaging 24(1): 254 (2024)- [j1]Long Lian, Boyi Li, Adam Yala, Trevor Darrell:
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li:
LLM-grounded Video Diffusion Models. ICLR 2024 - [c3]Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay:
Conformal Language Modeling. ICLR 2024 - [i9]Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg:
Rethinking Patch Dependence for Masked Autoencoders. CoRR abs/2401.14391 (2024) - 2023
- [i8]Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira, Andrea J. D. Jaba, Victor Quach, Ken R. Duffy
, Tommi S. Jaakkola, Vinod Vaikuntanathan, Manya Ghobadi, Regina Barzilay, Muriel Médard:
PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. CoRR abs/2304.00047 (2023) - [i7]Long Lian, Boyi Li, Adam Yala, Trevor Darrell:
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. CoRR abs/2305.13655 (2023) - [i6]Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay:
Conformal Language Modeling. CoRR abs/2306.10193 (2023) - [i5]Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li:
LLM-grounded Video Diffusion Models. CoRR abs/2309.17444 (2023) - 2022
- [b1]Adam Yala:
Machine Learning Methods for Image-based Personalized Cancer Screening. MIT, USA, 2022 - [i4]Adam Yala, Victor Quach, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard, Tommi S. Jaakkola, Regina Barzilay:
Syfer: Neural Obfuscation for Private Data Release. CoRR abs/2201.12406 (2022) - [i3]Janice Yang, Ludvig Karstens, Casey Ross, Adam Yala:
AI Gone Astray: Technical Supplement. CoRR abs/2203.16452 (2022) - 2021
- [c2]Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña:
COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers. BCB 2021: 34:1-34:5 - [i2]Adam Yala, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Manya Ghobadi, Tommi S. Jaakkola, Vinod Vaikuntanathan, Regina Barzilay, Muriel Médard:
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training. CoRR abs/2106.02484 (2021)
2010 – 2019
- 2016
- [c1]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. EMNLP 2016: 2355-2365 - [i1]Karthik Narasimhan, Adam Yala, Regina Barzilay:
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. CoRR abs/1603.07954 (2016)
Coauthor Index
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last updated on 2024-10-08 21:33 CEST by the dblp team
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