Benjamin Hoover

Orcid: 0000-0001-5218-3185

According to our database1, Benjamin Hoover authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
8
1
2
1
3
1
1
3
4
1
4
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Transformer Explainer: Interactive Learning of Text-Generative Models.
CoRR, 2024

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion.
Proceedings of the IEEE Visualization and Visual Analytics, 2024

Dense Associative Memory Through the Lens of Random Features.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Interactive Visual Learning for Stable Diffusion.
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

Energy Transformer.
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
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.
CoRR, 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

FairyTailor: A Multimodal Generative Framework for Storytelling.
CoRR, 2021

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment.
CoRR, 2021

Interactive Corpora Visualization for 60 Years of AI Research.
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

Can a Fruit Fly Learn Word Embeddings?
Proceedings of the 9th International Conference on Learning Representations, 2021

LMdiff: A Visual Diff Tool to Compare Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
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


  Loading...