Candace Ross

According to our database, Candace Ross authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity.

Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano

Trans. Mach. Learn. Res., 2024

What makes a good metric? Evaluating automatic metrics for text-to-image consistency.

Candace Ross, Melissa Hall, Adriana Romero-Soriano, Adina Williams

CoRR, 2024

EvalGIM: A Library for Evaluating Generative Image Models.

Melissa Hall, Oscar Mañas, Reyhane Askari Hemmat, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada Ifriqi, Marton Havasi, Yohann Benchetrit, Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano

CoRR, 2024

Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora.

Michael Y. Hu, Aaron Mueller, Candace Ross, Adina Williams, Tal Linzen, Chengxu Zhuang, Ryan Cotterell, Leshem Choshen, Alex Warstadt, Ethan Gotlieb Wilcox

CoRR, 2024

Improving Model Evaluation using SMART Filtering of Benchmark Datasets.

Vipul Gupta, Candace Ross, David Pantoja, Rebecca J. Passonneau, Megan Ung, Adina Williams

CoRR, 2024

Changing Answer Order Can Decrease MMLU Accuracy.

Vipul Gupta, David Pantoja, Candace Ross, Adina Williams, Megan Ung

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

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang

CoRR, 2024

Improving Text-to-Image Consistency via Automatic Prompt Optimization.

Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal

CoRR, 2024

Towards Geographic Inclusion in the Evaluation of Text-to-Image Models.

Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance.

Reyhane Askari Hemmat, Melissa Hall, Alicia Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano

Proceedings of the Computer Vision - ECCV 2024, 2024

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision.

Nicholas Lui, Bryan Chia, William Berrios, Candace Ross, Douwe Kiela

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan

CoRR, 2023

Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers.

Melissa Hall, Bobbie Chern, Laura Gustafson, Denisse Ventura, Harshad Kulkarni, Candace Ross, Nicolas Usunier

CoRR, 2023

Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities.

Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross

CoRR, 2023

Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups.

Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FACET: Fairness in Computer Vision Evaluation Benchmark.

Laura Gustafson, Chloé Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning Language with Multimodal Models

Candace Ross

PhD thesis, 2022

CM3: A Causal Masked Multimodal Model of the Internet.

Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer

CoRR, 2022

Perturbation Augmentation for Fairer NLP.

Rebecca Qian, Candace Ross, Jude Fernandes, Eric Michael Smith, Douwe Kiela, Adina Williams

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality.

Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross

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

2021

Measuring Social Biases in Grounded Vision and Language Embeddings.

Candace Ross, Boris Katz, Andrei Barbu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Learning a natural-language to LTL executable semantic parser for grounded robotics.

Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning Language from Vision.

Candace Ross, Cheahuychou Mao, Boris Katz, Andrei Barbu

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

2018

Grounding language acquisition by training semantic parsers using captioned videos.

Candace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Myanganbayar, Boris Katz

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018