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
Microsoft Research-Cambridge University Machine Learning Initiative
Publications
Publications
Publications by Year
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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
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Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
NeurIPS 2021 | December 2021
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
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
July 2021
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang
NeurIPS Competition | April 2021
To appear in PMLR proceeding of NeurIPS competition
Publications by Research Area
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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
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
Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
NeurIPS 2021 | December 2021
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
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
July 2021
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang
NeurIPS Competition | April 2021
To appear in PMLR proceeding of NeurIPS competition
-
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
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
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
-
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
Publications by Type
-
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
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
Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner
NeurIPS 2021 | December 2021
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
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang
NeurIPS Competition | April 2021
To appear in PMLR proceeding of NeurIPS competition
-
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
July 2021