本文介绍的Meta-Critic Network作为一种全新的Meta Learning方法,通过训练出一个核心指导网络(也就是核心价值观),从而能够指导新任务的快速学习,具备非常大的潜力。在未来的工作中,我们可以接着继续尝试应用Meta-Critic Network到更复杂的任务中,实现更好的应用!
所以对这一类学习算法的特性有一个比较恰当的描述:Learning how to learn. Meta learning 作为一个思维框架,有很多不同的应用版本。我们首先用一个具体的例子解释这个过程,再由这个例子总结对框架一般性的思考。 顾名思义,Model-agnostic (模型无关) meta learning 将模型作为一个缺省的部分,也就是说可以代入任何...
url:[https://arxiv.org/pdf/1703.01513](https://arxiv.org/pdf/1703.01513) 这篇文章讲述了如何用传统的遗传算法,生成卷积神经网络,传统的遗传算法可以帮助我们调整参数调,这里我们把网络参数化,通过遗传算法调整我们的DNA序列,然后生成不同的网络结构。好探索我们的网络结构是否可以达到像我们人工设计的网络一样具...
MANN for Meta-Learning Addressing Mechanism for Meta-Learning Meta Networks Fast Weights Model Components Training Process Optimization-Based LSTM Meta-Learner Why LSTM? Model Setup MAML First-Order MAML Reptile The Optimization Assumption Reptile vs FOMAML Reference https://lilianweng.github.io...
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification 2019-10-01 11:29:54 Paper:https://arxiv.org/pdf/1909.04176.pdf 1. Background and Motivation: 多标签分类问题的目标是同时进行多个 label 的识别,且这些 label 是有一定关联的;而传统的 多类别分类问题,仅仅是一...
Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning 1 Legacy Papers [1] Nicolas Schweighofer and Kenji Doya. Meta-learning in reinforcement learning. Neural Networks, 16(1):5–9, 2003. [2] Sepp Hochreiter, A Steven Younger, and Peter R Conwell. Learning to learn using ...
Meta-Learning: Learning to Learn in Artificial Intelligencedoi:10.13140/RG.2.2.29675.46881Majid Sepahvand
Few-shot learning is challenging for learning algorithms that learn each task in isolation and from scratch. In contrast, meta-learning learns from many related tasks a meta-learner that can learn a new task more accurately and faster with fewer examples, where the choice of meta-learners is ...
《最前沿:百家争鸣的Meta Learning/Learning to learn》by Flood Sung http://t.cn/RCJKKte
Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster.Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning...