Adam Yala

According to our database, Adam Yala authored at least 10 papers between 2016 and 2024.

Collaborative distances:

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

2024

Rethinking Patch Dependence for Masked Autoencoders.

Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg

CoRR, 2024

2023

LLM-grounded Video Diffusion Models.

Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

CoRR, 2023

Conformal Language Modeling.

Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay

CoRR, 2023

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models.

Long Lian, Boyi Li, Adam Yala, Trevor Darrell

CoRR, 2023

PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels.

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

CoRR, 2023

2022

AI Gone Astray: Technical Supplement.

Janice Yang, Ludvig Karstens, Casey Ross, Adam Yala

CoRR, 2022

Syfer: Neural Obfuscation for Private Data Release.

Adam Yala, Victor Quach, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard, Tommi S. Jaakkola, Regina Barzilay

CoRR, 2022

2021

NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training.

Adam Yala, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Manya Ghobadi, Tommi S. Jaakkola, Vinod Vaikuntanathan, Regina Barzilay, Muriel Médard

CoRR, 2021

COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers.

Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2016

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.

Karthik Narasimhan, Adam Yala, Regina Barzilay

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016