Daniela Massiceti

Senior Researcher

Publications

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- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint Project
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication Video Video Project
- Understanding Information Storage and Transfer in Multi-modal Large Language Models
  
  Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, S. Feizi, Daniela Massiceti
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI Video Project
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication Project
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version Project
- NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
  
  Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
  
  2023 International Conference on Machine Learning | June 2023
  
  Author's Version
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication Project
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project Project
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github Project
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication Project Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project Project

- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint Project
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication Video Video Project
- Understanding Information Storage and Transfer in Multi-modal Large Language Models
  
  Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, S. Feizi, Daniela Massiceti
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI Video Project
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication Project
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version Project
- NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
  
  Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
  
  2023 International Conference on Machine Learning | June 2023
  
  Author's Version
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication Project
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project Project
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project Project
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint Project
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication Video Video Project
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI Video Project
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication Project
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version Project
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication Project
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project Project
- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint Project
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication Video Video Project
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI Video Project
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version Project
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication Project Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project Project

- Position: To Make Text-to-Image Models that Work for Marginalized Communities, We Need New Measurement Practices for the Long Tail
  
  Nari Johnson, Hamna ., Deepthi Sudharsan, Theo Holroyd, Samantha Dalal, Siobhan Mackenzie Hall, Jennifer Wortman Vaughan, Daniela Massiceti, Cecily Morrison
  
  July 2025
  
  Preprint Project
- Explaining CLIP’s performance disparities on data from blind/low vision users
  
  Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Publication Video Video Project
- Understanding Information Storage and Transfer in Multi-modal Large Language Models
  
  Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, S. Feizi, Daniela Massiceti
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
  
  S. Basu, Daniela Massiceti, S. Hu, S. Feizi
  
  AAAI Conference on Artificial Intelligence | February 2024
  
  Publication Project
- Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
  
  Cecily Morrison, Rita Marques, Martin Grayson, Daniela Massiceti, Camilla Longden, Linda Yilin Wen, Ed Cutrell
  
  ASSETS 2023 | October 2023
  
  PDF DOI Author's Version Project
- NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
  
  Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
  
  2023 International Conference on Machine Learning | June 2023
  
  Author's Version
- Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
  
  Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
  
  2023 International Conference on Learning Representations | May 2023
  
  Publication Project
- NP-Match: When Neural Processes meet Semi-Supervised Learning
  
  Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou
  
  ICML 2022 | July 2022
  
  Publication Project Project
- Memory Efficient Meta-Learning with Large Images
  
  John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
  
  NeurIPS 2021 | December 2021
  
  Publication Github Project
- Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
  
  Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Ed Cutrell, Matthew Tobias Harris, Katja Hofmann
  
  International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) | October 2021
  
  Publication Project Project
- ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  
  Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf
  
  ICCV 2021 | October 2021
  
  Publication Github Project Project
- Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision
  
  Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Marques, Daniela Massiceti, Camilla Longden, Edward Cutrell
  
  Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | May 2024, pp. 403:1-403:6
  
  PDF DOI Video Project