Bradley Green

According to our database, Bradley Green authored at least 23 papers between 2015 and 2025.

Collaborative distances:

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

2025

Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning.

Yuhan Liu, Lin Ning, Neo Wu, Karan Singhal, Philip Andrew Mansfield, Devora Berlowitz, Sushant Prakash, Bradley Green

CoRR, May, 2025

User-LLM: Efficient LLM Contextualization with User Embeddings.

Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs.

Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches.

Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green

CoRR, 2024

Capabilities of Gemini Models in Medicine.

Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2024

Augmentations vs Algorithms: What Works in Self-Supervised Learning.

Warren R. Morningstar, Alex Bijamov, Chris Duvarney, Luke Friedman, Neha Mukund Kalibhat, Luyang Liu, Philip Andrew Mansfield, Renan A. Rojas-Gomez, Karan Singhal, Bradley Green, Sushant Prakash

CoRR, 2024

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation.

Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Towards Generalist Biomedical AI.

Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2023

Towards Expert-Level Medical Question Answering with Large Language Models.

Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2023

2022

Federated Training of Dual Encoding Models on Small Non-IID Client Datasets.

Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

CoRR, 2022

Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services.

Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo

CoRR, 2022

2021

STEP: Segmenting and Tracking Every Pixel.

Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Contrastive Learning for Label Efficient Semantic Segmentation.

Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data.

Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ranking Neural Checkpoints.

Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze.

Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case.

Neo Wu, Bradley Green, Xue Ben, Shawn O'Banion

CoRR, 2020

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation.

Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

Search to Distill: Pearls Are Everywhere but Not the Eyes.

Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Search to Distill: Pearls are Everywhere but not the Eyes.

Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang

CoRR, 2019

<i>Selected Compositions III (1986-2017)</i>.

Bradley Green

Comput. Music. J., 2019

2018

Connected realizations of joint-degree matrices.

Georgios Amanatidis, Bradley Green, Milena Mihail

Discret. Appl. Math., 2018

2015

Graphic Realizations of Joint-Degree Matrices.

Georgios Amanatidis, Bradley Green, Milena Mihail

CoRR, 2015