Progress in Meta Learning part2(Machine Learning)
1. Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning(arXiv) Author : Huiwon Jang, Hankook Lee, Jinwoo Shin Abstract : Unsupervised meta-learning aims to learn generalizable knowledge across a distribution of tasks constructed from unlabeled data. Here, the main challenge is how to construct diverse tasks for meta-learning without label information; recent…
Progress in Meta Learning part2(Machine Learning) 1. Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning(arXiv) Author : Huiwon Jang, Hankook Lee, Jinwoo Shin Abstract : Unsupervised meta-learning aims to learn generalizable knowledge across a distribution of tasks constructed from unlabeled data. Here, the main challenge is how to construct diverse tasks for meta-learning without label information; recent… deep-learning
Progress Meta Learning part2Machine Learning 1 Unsupervised MetaLearning via Fewshot Pseudosupervised Contrastive LearningarXiv Author Huiwon Jang Hankook Lee Jinwoo Shin Abstract Unsupervised metalearning aim learn generalizable knowledge across distribution task constructed unlabeled data main challenge construct diverse task metalearning without label information recent… deeplearning