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Angie W. Boggust
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2020 – today
- 2024
- [i10]Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne:
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. CoRR abs/2404.03214 (2024) - [i9]Angie W. Boggust, Hyemin Bang, Hendrik Strobelt, Arvind Satyanarayan:
Abstraction Alignment: Comparing Model and Human Conceptual Relationships. CoRR abs/2407.12543 (2024) - 2023
- [c8]Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan:
VisText: A Benchmark for Semantically Rich Chart Captioning. ACL (1) 2023: 7268-7298 - [c7]Angie W. Boggust
, Harini Suresh
Saliency Cards: A Framework to Characterize and Compare Saliency Methods. FAccT 2023: 285-296 - [i8]Benny J. Tang, Angie W. Boggust, Arvind Satyanarayan:
VisText: A Benchmark for Semantically Rich Chart Captioning. CoRR abs/2307.05356 (2023) - [i7]Zoe De Simone, Angie W. Boggust, Arvind Satyanarayan, Ashia Wilson:
What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews. CoRR abs/2309.09944 (2023) - 2022
- [c6]Angie W. Boggust
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI 2022: 10:1-10:17 - [c5]Angie W. Boggust
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. IUI 2022: 746-766 - [i6]Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan:
Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. CoRR abs/2206.02958 (2022) - 2021
- [c4]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV 2021: 7992-8001 - [c3]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech 2021: 1584-1588 - [c2]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech 2021: 3006-3010 - [i5]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR abs/2104.12671 (2021) - [i4]Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. CoRR abs/2107.09234 (2021) - [i3]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR abs/2111.04823 (2021) - 2020
- [i2]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass:
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR abs/2006.09199 (2020)
2010 – 2019
- 2019
- [c1]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:
Grounding Spoken Words in Unlabeled Video. CVPR Workshops 2019: 29-32 - [i1]Angie W. Boggust, Brandon Carter, Arvind Satyanarayan:
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. CoRR abs/1912.04853 (2019)
Coauthor Index
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last updated on 2024-08-27 22:02 CEST by the dblp team
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