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John Bronskill
John Bronskill
University of Cambridge
Bestätigte E-Mail-Adresse bei cam.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Meta-learning probabilistic inference for prediction
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
arXiv preprint arXiv:1805.09921, 2018
3082018
Fast and flexible multi-task classification using conditional neural adaptive processes
J Requeima, J Gordon, J Bronskill, S Nowozin, RE Turner
Advances in neural information processing systems 32, 2019
2712019
Infer .NET 0.3, 2018. Microsoft Research Cambridge
T Minka, J Winn, J Guiver, Y Zaykov, D Fabian, J Bronskill
203*
Tasknorm: Rethinking batch normalization for meta-learning
J Bronskill, J Gordon, J Requeima, S Nowozin, R Turner
International Conference on Machine Learning, 1153-1164, 2020
1152020
Fs-mol: A few-shot learning dataset of molecules
M Stanley, JF Bronskill, K Maziarz, H Misztela, J Lanini, M Segler, ...
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
772021
Mixed but indistinguishable raster and vector image data types
AR Smith, J Bradstreet, JE Fay, A Sehgal, TA Joshi, JF Bronskill, ...
US Patent 7,148,907, 2006
632006
System and method for drawing and painting with bitmap brushes
J Bronskill
US Patent 6,201,549, 2001
602001
Orbit: A real-world few-shot dataset for teachable object recognition
D Massiceti, L Zintgraf, J Bronskill, L Theodorou, MT Harris, E Cutrell, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
482021
Multidimensional shape description and recognition using mathematical morphology
JF Bronskill, AN Venetsanopoulos
Journal of Intelligent and Robotic systems 1, 117-143, 1988
401988
Apparatus and method for transforming a digitized signal of an image
I Jaffray, JF Bronskill
US Patent 5,063,448, 1991
391991
Apparatus and method for transforming a digitized signal of an image to incorporate an airbrush effect
I Jaffray, JF Bronskill
US Patent 5,245,432, 1993
381993
Personalized predictive models
J Edelen, J Li, JF Bronskill, JP Guiver, K Dastgir, S Rajmohan, ...
US Patent 10,504,029, 2019
362019
Rich data-bound application
J Gossman, K Cooper, T Peters, J Bronskill, DR Motter, A Gasperini, ...
US Patent App. 11/080,531, 2006
302006
Fit: Parameter efficient few-shot transfer learning for personalized and federated image classification
A Shysheya, J Bronskill, M Patacchiola, S Nowozin, RE Turner
arXiv preprint arXiv:2206.08671, 2022
252022
Memory efficient meta-learning with large images
J Bronskill, D Massiceti, M Patacchiola, K Hofmann, S Nowozin, R Turner
Advances in neural information processing systems 34, 24327-24339, 2021
222021
System and method for drawing and painting with warped bitmap brushes
J Bronskill, M Gangnet
US Patent 7,158,138, 2007
182007
A knowledge-based approach to the detection, tracking and classification of target formations in infrared image sequences
JF Bronskill, JSA Hepburn, WK Au
1989 IEEE Computer Society Conference on Computer Vision and Pattern …, 1989
171989
Versa: Versatile and efficient few-shot learning
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Third workshop on Bayesian Deep Learning, 2018
152018
Contextual squeeze-and-excitation for efficient few-shot image classification
M Patacchiola, J Bronskill, A Shysheya, K Hofmann, S Nowozin, R Turner
Advances in Neural Information Processing Systems 35, 36680-36692, 2022
122022
The pecstrum
JF Bronskill, AN Venetsanopoulos
Proceedings of the 3rd ASSP Workshop on Spectral Estimation and Modeling; Boston, 1986
91986
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