Mike Huisman

According to our database, Mike Huisman authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Subspace Adaptation Prior for Few-Shot Learning.

Mike Huisman, Aske Plaat, Jan N. van Rijn

Mach. Learn., February, 2024

2023

Are LSTMs good few-shot learners?

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

Mach. Learn., November, 2023

Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques.

Mike Huisman, Aske Plaat, Jan N. van Rijn

CoRR, 2023

2022

Stateless neural meta-learning using second-order gradients.

Mike Huisman, Aske Plaat, Jan N. van Rijn

Mach. Learn., 2022

Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification.

Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A survey of deep meta-learning.

Mike Huisman, Jan N. van Rijn, Aske Plaat

Artif. Intell. Rev., 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021