Learning to Learn Dense Gaussian Processes for Few-Shot Learning

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

Variational Multi-Task Learning with Gumbel-Softmax Priors

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

Variational Model Perturbation for Source-Free Domain Adaptation

von Jing, Mengmeng
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 23 of 50 (2023)

Variational Topic Inference for Chest X-Ray Report Generation

von Najdenkoska, Ivona
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 3 (2021)

Variational Knowledge Distillation for Disease Classification in Chest X-Rays

von van Sonsbeek, Tom
Veröffentlicht in IPMI (27. : 2021 : Online) Information processing in medical imaging (2021)

Association Graph Learning for Multi-Task Classification with Category Shifts

von Shen, Jiayi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 7 of 50 (2023)

KERNEL CONTINUAL LEARNING

von DERAKHSHANI, MOHAMMAD MAHDI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 4 of 16 (2022)

Few-Shot Semantic Segmentation with Democratic Attention Networks

von Wang, Haochen
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 13 (2020)

Learning to Learn Variational Semantic Memory

von Zhen, Xiantong
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)

A BIT MORE BAYESIAN: DOMAIN-INVARIANT LEARNING WITH UNCERTAINTY

von XIAO, ZEHAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 14 of 16 (2022)

LEARNING TO LEARN KERNELS WITH VARIATIONAL RANDOM FEATURES

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

Learning to Learn with Variational Information Bottleneck for Domain Generalization

von Du, Yingjun
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 10 (2020)

LifeLonger: A Benchmark for Continual Disease Classification

von Derakhshani, Mohammad Mahdi
Veröffentlicht in International Conference on Medical Image Computing and Computer Assisted Intervention (25. : 2022 : Singapur; Online) Medical image computing and computer assisted intervention - MICCAI 2022 ; Part 2 (2022)