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 011; Fabio Ferreira; Henry Gouk; Chaoyu Guan; Isabelle Guyon; Timothy M. Hospedales; Shell Hu; Mike Huisman; et al. (NeurIPS (Competition and Demos), 2021)

A survey of deep meta-learning. - Mike Huisman; Jan N. van Rijn; Aske Plaat (Artif. Intell. Rev., 2021)

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 (NeurIPS, 2022)

Stateless neural meta-learning using second-order gradients. - Mike Huisman; Aske Plaat; Jan N. van Rijn (Mach. Learn., 2022)

Are LSTMs good few-shot learners? - Mike Huisman; Thomas M. Moerland; Aske Plaat; Jan N. van Rijn (Mach. Learn., 2023)

Subspace Adaptation Prior for Few-Shot Learning. - Mike Huisman; Aske Plaat; Jan N. van Rijn (Mach. Learn., 2024)

Understanding transfer learning and gradient-based meta-learning techniques. - Mike Huisman; Aske Plaat; Jan N. van Rijn (Mach. Learn., 2024)