Seguir
John Bronskill
John Bronskill
University of Cambridge
E-mail confirmado em cam.ac.uk
Título
Citado por
Citado por
Ano
Meta-learning probabilistic inference for prediction
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
arXiv preprint arXiv:1805.09921, 2018
3302018
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
3002019
Infer .NET 0.3, 2018. Microsoft Research Cambridge
T Minka, J Winn, J Guiver, Y Zaykov, D Fabian, J Bronskill
165*
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
1202020
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
932021
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
592001
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
562021
Personalized predictive models
J Edelen, J Li, JF Bronskill, JP Guiver, K Dastgir, S Rajmohan, ...
US Patent 10,504,029, 2019
392019
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
391993
Apparatus and method for transforming a digitized signal of an image
I Jaffray, JF Bronskill
US Patent 5,063,448, 1991
391991
Multidimensional shape description and recognition using mathematical morphology
JF Bronskill, AN Venetsanopoulos
Journal of Intelligent and Robotic systems 1, 117-143, 1988
391988
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
272022
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
252021
Llm processes: Numerical predictive distributions conditioned on natural language
J Requeima, J Bronskill, D Choi, R Turner, DK Duvenaud
Advances in Neural Information Processing Systems 37, 109609-109671, 2024
192024
Versa: Versatile and efficient few-shot learning
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Third workshop on Bayesian Deep Learning, 2018
192018
System and method for drawing and painting with warped bitmap brushes
J Bronskill, M Gangnet
US Patent 7,158,138, 2007
172007
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
On the efficacy of differentially private few-shot image classification
M Tobaben, A Shysheya, J Bronskill, A Paverd, S Tople, ...
arXiv preprint arXiv:2302.01190, 2023
152023
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20