Angie W. Boggust

According to our database, Angie W. Boggust authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Abstraction Alignment: Comparing Model and Human Conceptual Relationships.

Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan

CoRR, 2024

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity.

Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne

CoRR, 2024

2023

What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews.

Zoe De Simone, Angie W. Boggust, Arvind Satyanarayan, Ashia Wilson

CoRR, 2023

Saliency Cards: A Framework to Characterize and Compare Saliency Methods.

Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

VisText: A Benchmark for Semantically Rich Chart Captioning.

Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods.

Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan

CoRR, 2022

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples.

Angie W. Boggust, Brandon Carter, Arvind Satyanarayan

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior.

Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment.

Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt

CoRR, 2021

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos.

Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Cascaded Multilingual Audio-Visual Learning from Videos.

Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos.

Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang

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

2020

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos.

Andrew Rouditchenko, Angie W. Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass

CoRR, 2020

2019

Grounding Spoken Words in Unlabeled Video.

Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019