Suzanne Petryk

According to our database, Suzanne Petryk authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Data-Centric AI Governance: Addressing the Limitations of Model-Focused Policies.

Ritwik Gupta, Leah Walker, Rodolfo Corona, Stephanie Fu, Suzanne Petryk, Janet Napolitano, Trevor Darrell, Andrew W. Reddie

CoRR, 2024

Hyperbolic Learning with Multimodal Large Language Models.

Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso

CoRR, 2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

Simple Token-Level Confidence Improves Caption Correctness.

Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

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

ALOHa: A New Measure for Hallucination in Captioning Models.

Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph Gonzalez, Trevor Darrell

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

2023

CLAIR: Evaluating Image Captions with Large Language Models.

David M. Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers.

Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed

CoRR, 2022

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly.

Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2022, 2022

On Guiding Visual Attention with Language Specification.

Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

NBDT: Neural-Backed Decision Tree.

Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

Proceedings of the 9th International Conference on Learning Representations, 2021

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting.

Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

NBDT: Neural-Backed Decision Trees.

Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

CoRR, 2020