Benjamin Hoover
Orcid: 0000-0001-5218-3185
According to our database1,
Benjamin Hoover
authored at least 23 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the IEEE Visualization and Visual Analytics, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models.
IEEE Trans. Vis. Comput. Graph., 2023
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement.
PLoS Comput. Biol., 2021
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment.
CoRR, 2021
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021
2020
CoRR, 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
2019
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models.
CoRR, 2019