Structured learning and prediction in computer vision

von Nowozin, Sebastian
Veröffentlicht 2011

Optimization for machine learning

Veröffentlicht 2012

Precise characterization of the prior predictive distribution of deep ReLU networks

von Noci, Lorenzo
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect

von Noci, Lorenzo
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

Advanced structured prediction

Veröffentlicht 2014

TASKNORM: RETHINKING BATCH NORMALIZATION FOR META-LEARNING

von Bronskill, John
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15 (2021)

FAST AND FLEXIBLE MULTI-TASK CLASSIFICATION USING CONDITIONAL NEURAL ADAPTIVE PROCESSES

von Requeima, James
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification

von Patacchiola, Massimiliano
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 47 of 50 (2023)

Memory Efficient Meta-Learning with Large Images

von Bronskill, John
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 29 of 36 (2022)

HOW GOOD IS THE BAYES POSTERIOR IN DEEP NEURAL NETWORKS REALLY?

von Wenzel, Florian
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

THE K-TIED NORMAL DISTRIBUTION: A COMPACT PARAMETERIZATION OF GAUSSIAN MEAN FIELD POSTERIORS IN BAYESIAN NEURAL NETWORKS

von Swiatkowski, Jakub
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 12 of 15 (2021)