Adam Yala - RankMe

25 papers A* 3Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Atlas: Multi-Scale Attention Improves Long Context Image Modeling. CoRR Kumar Krishna Agrawal, Long Lian, Longchao Liu, Natalia Harguindeguy, Boyi Li, Alexander Bick, Maggie Chung, Trevor Darrell, Adam Yala
2025	J	`jnl`	Data reuse enables cost-efficient randomized trials of medical AI models. CoRR Michael Nercessian, Wenxin Zhang, Alexander Schubert, Daphne Yang, Maggie Chung, Ahmed Alaa, Adam Yala
2025	J	`jnl`	Describe Anything: Detailed Localized Image and Video Captioning. CoRR Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui
2025	J	`jnl`	Learning Adaptive Parallel Reasoning with Language Models. CoRR Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr
2025	J	`jnl`	Pillar-0: A New Frontier for Radiology Foundation Models. CoRR Kumar Krishna Agrawal, Longchao Liu, Long Lian, Michael Nercessian, Natalia Harguindeguy, Yufu Wu, Peter Mikhael, Gigin Lin, Lecia V. Sequist, Florian Fintelmann, Trevor Darrell, Yutong Bai, Maggie Chung, Adam Yala
2025	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. Trans. Mach. Learn. Res. Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2025	—	`conf`	TULIP: Contrastive Image-Text Learning with Richer Vision Understanding. ICCVW Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	TULIP: Towards Unified Language-Image Pretraining. CoRR Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models. CoRR Long Lian, Sida Wang, Felix Juefei-Xu, Tsu-Jui Fu, Xiuyu Li, Adam Yala, Trevor Darrell, Alane Suhr, Yuandong Tian, Xi Victoria Lin
2024	J	`jnl`	An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. BMC Medical Imaging Adrian Serapio, Gunvant R. Chaudhari, Cody Savage, Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jamie Lee Schroeder, Jonathan Liu, Adam Yala, Jae Ho Sohn
2024	A*	`conf`	Conformal Language Modeling. ICLR Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay
2024	J	`jnl`	LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. Trans. Mach. Learn. Res. Long Lian, Boyi Li, Adam Yala, Trevor Darrell
2024	A*	`conf`	LLM-grounded Video Diffusion Models. ICLR Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
2024	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. CoRR Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2023	J	`jnl`	Conformal Language Modeling. CoRR Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay
2023	J	`jnl`	LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. CoRR Long Lian, Boyi Li, Adam Yala, Trevor Darrell
2023	J	`jnl`	LLM-grounded Video Diffusion Models. CoRR Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
2023	J	`jnl`	PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. CoRR 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
2022	J	`jnl`	AI Gone Astray: Technical Supplement. CoRR Janice Yang, Ludvig Karstens, Casey Ross, Adam Yala
2022	—	`—`	Machine Learning Methods for Image-based Personalized Cancer Screening Adam Yala
2022	J	`jnl`	Syfer: Neural Obfuscation for Private Data Release. CoRR Adam Yala, Victor Quach, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Muriel Médard, Tommi S. Jaakkola, Regina Barzilay
2021	—	`conf`	COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers. BCB Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña
2021	J	`jnl`	NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training. CoRR Adam Yala, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Ken R. Duffy, Manya Ghobadi, Tommi S. Jaakkola, Vinod Vaikuntanathan, Regina Barzilay, Muriel Médard
2016	A*	`conf`	Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. EMNLP Karthik Narasimhan, Adam Yala, Regina Barzilay
2016	J	`jnl`	Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. CoRR Karthik Narasimhan, Adam Yala, Regina Barzilay