Brandon Yang

According to our database, Brandon Yang authored at least 12 papers between 2017 and 2026.

Collaborative distances:

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

2026

Contrastive Conceptor Activation Steering (COAST): Unlocking Vision-Language-Action Models through Hidden States.

Miranda Muqing Miao, Subin Kim, Brandon Yang, Lyle H. Ungar

CoRR, May, 2026

2025

CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation.

Sung-Wook Lee, Xuhui Kang, Brandon Yang, Yen-Ling Kuo

CoRR, August, 2025

Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale.

Jerome Ku, Eric Nguyen, David W. Romero, Garyk Brixi, Brandon Yang, Anton Vorontsov, Ali Taghibakhshi, Amy X. Lu, Dave P. Burke, Greg Brockman, Stefano Massaroli, Christopher Ré, Patrick D. Hsu, Brian L. Hie, Stefano Ermon, Michael Poli

CoRR, March, 2025

2023

Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes.

Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré

Proc. VLDB Endow., 2023

2020

Streaming Object Detection for 3-D Point Clouds.

Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

StarNet: Targeted Computation for Object Detection in Point Clouds.

Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan

CoRR, 2019

Using Videos to Evaluate Image Model Robustness.

Keren Gu, Brandon Yang, Jiquan Ngiam, Quoc V. Le, Jonathon Shlens

CoRR, 2019

Soft Conditional Computation.

Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam

CoRR, 2019

CondConv: Conditionally Parameterized Convolutions for Efficient Inference.

Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Sample-Efficient Deep RL with Generative Adversarial Tree Search.

Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar

CoRR, 2018

2017

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs.

Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Yi Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

CoRR, 2017

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

CoRR, 2017