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Jannik Kossen
Jannik Kossen
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Structured Object-Aware Physics Prediction for Video Modeling and Planning
J Kossen, K Stelzner, M Hussing, C Voelcker, K Kersting
ICLR, 2020
432020
Wie Maschinen lernen
K Kersting, C Lampert, C Rothkopf
Wiesbaden: Springer, 2019
242019
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
J Kossen, N Band, C Lyle, AN Gomez, T Rainforth, Y Gal
NeurIPS, 2021
192021
Active Testing: Sample-Efficient Model Evaluation
J Kossen, S Farquhar, Y Gal, T Rainforth
ICML, 2021
132021
Klassifikation
J Aberham, J Kossen
Wie Maschinen lernen, 45-52, 2019
32019
Regression
J Kossen, ME Müller
Wie Maschinen lernen, 39-43, 2019
22019
Faltungsnetze
J Kossen, ME Müller
Wie Maschinen lernen, 163-169, 2019
12019
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
J Kossen, C Cangea, E Vértes, A Jaegle, V Patraucean, I Ktena, ...
arXiv preprint arXiv:2211.05039, 2022
2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling
A Kirsch, J Kossen, Y Gal
arXiv preprint arXiv:2205.08766, 2022
2022
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation
J Kossen, S Farquhar, Y Gal, T Rainforth
arXiv preprint arXiv:2202.06881, 2022
2022
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