Angie Boggust
Angie Boggust
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Avlnet: Learning audio-visual language representations from instructional videos
A Rouditchenko, A Boggust, D Harwath, B Chen, D Joshi, S Thomas, ...
arXiv preprint arXiv:2006.09199, 2020
Multimodal clustering networks for self-supervised learning from unlabeled videos
B Chen, A Rouditchenko, K Duarte, H Kuehne, S Thomas, A Boggust, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Embedding comparator: Visualizing differences in global structure and local neighborhoods via small multiples
A Boggust, B Carter, A Satyanarayan
Proceedings of the 27th International Conference on Intelligent User …, 2022
Shared interest: Measuring human-ai alignment to identify recurring patterns in model behavior
A Boggust, B Hoover, A Satyanarayan, H Strobelt
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
Vistext: A benchmark for semantically rich chart captioning
BJ Tang, A Boggust, A Satyanarayan
arXiv preprint arXiv:2307.05356, 2023
Grounding spoken words in unlabeled video.
AW Boggust, K Audhkhasi, D Joshi, D Harwath, S Thomas, RS Feris, ...
CVPR Workshops 2, 17, 2019
Cascaded multilingual audio-visual learning from videos
A Rouditchenko, A Boggust, D Harwath, S Thomas, H Kuehne, B Chen, ...
arXiv preprint arXiv:2111.04823, 2021
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
A Boggust, H Suresh, H Strobelt, J Guttag, A Satyanarayan
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
W Bousselham, A Boggust, S Chaybouti, H Strobelt, H Kuehne
arXiv preprint arXiv:2404.03214, 2024
What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews
Z De Simone, A Boggust, A Satyanarayan, A Wilson
arXiv preprint arXiv:2309.09944, 2023
Shared Interest: Human Annotations vs. AI Saliency
A Boggust, B Hoover, A Satyanarayan, H Strobelt
Annual Conference on Neural Information Processing Systems, 2020
Unsupervised audio-visual learning in the wild
AW Boggust
Massachusetts Institute of Technology, 2020
Interpreting Uncertainty: Understanding Neural Network Decisions with Conceptual Hierarchies
A Boggust, A Satyanarayan, H Strobelt
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