關於 meta learning ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. Meta Learning - NTU Speech Processing Laboratory

In meta, we will try to learn some of them. Page 11. Meta Learning – Step 1. • What is learnable in a learning algorithm ...

#12. oneHuster/Meta-Learning-Papers: A classified list of ... - GitHub

Sorted by submission date on arXiv. Survey. Meta-Learning in Neural Networks: A Survey [paper]. Timothy Hospedales, Antreas Antoniou, Paul Micaelli ...

#13. Meta-Learning with Implicit Gradients - NeurIPS Proceedings

A core capability of intelligent systems is the ability to quickly learn new tasks by drawing on prior experience. Gradient (or optimization) based meta- ...

#14. Memory Efficient Online Meta Learning

We propose a novel algorithm for online meta learning where task instances are sequentially revealed with limited supervision and a learner is expected to ...

#15. Meta-Learning from Demonstrations and Rewards

Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. Allan Zhou, Eric Jang, Daniel Kappler, Alex Herzog, Mohi Khansari, Paul Wohlhart, ...

#16. Meta-Learning in Neural Networks: A Survey - IEEE Xplore

The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches ...

#17. Meta-Learning with Neural Tangent Kernels | OpenReview

Model Agnostic Meta-Learning (MAML) has emerged as a standard framework for meta-learning, where a meta-model is learned with the ability of fast adapting ...

#18. Meta-Learning | Papers With Code

Meta -learning algorithms aim to learn two components: a model that predicts targets for a task, and a base learner that quickly updates that model when given ...

#19. Meta Learning for Low-Resource Molecular Optimization

Optimization-based meta learning aims at training a meta-model based on one set of similar tasks such that the meta-model can quickly adapt to a ...

#20. CS 330 Deep Multi-Task and Meta Learning

meta -learning methods that aim to learn efficient learning algorithms that can learn new tasks quickly; curriculum and lifelong learning, where the problem ...

#21. AAAI 2021 Meta Learning Tutorial - Google Sites

Meta -learning allows machines to learn to learn new algorithms. It is an emerging and fast developing research area within machine learning ...

#22. Meta-Learning - Robotic AI & Learning Lab

Deep reinforcement learning, especially model-free, requires a huge number of samples. • If we can meta-learn a faster reinforcement learner, we can learn.

#23. Meta-Learning - AutoML

Meta -Learning aims to improve learning across different tasks or datasets instead of specializing on a single one. This makes meta-learning useful in a ...

#24. Hands-On Meta Learning with Python - 博客來

書名：Hands-On Meta Learning with Python，語言：英文，ISBN：9781789534207，頁數：226，作者：Ravichandiran, Sudharsan，出版日期：2018/12/28，類別：自然科普.

#25. A Search for Efficient Meta-Learning: MAMLs, Reptiles, and ...

Meta Learning has a lofty ideal — learning how to learn, how to adapt to an unseen task. And it genuinely does seem to be outperforming more ...

#26. Meta-Learning in Neural Networks: A Survey - IEEE Computer ...

The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where a ...

#27. A survey of deep meta-learning | SpringerLink

Historically, the term meta-learning has been used with various scopes. In its broadest sense, it encapsulates all systems that leverage prior ...

#28. What is Meta Learning? Techniques, Benefits & Examples

Meta learning, also known as “learning to learn”, is a subset of machine learning in computer science. It is used to improve the results and ...

#29. How To Learn Deep Learning And Thrive In The Digital World

Meta Learning is an actionable roadmap to learning machine learning efficiently. It will show you exactly what you need to learn and how to learn it in ...

#30. Learning to Forget for Meta-Learning - CVF Open Access

Model-agnostic meta-learning (MAML) tackles the problem by formulating prior knowledge as a common initialization across tasks, which is then used to ...

#31. Efficient Meta Learning via Minibatch Proximal Update

Authors. Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng. Abstract. We address the problem of meta-learning which learns a prior over ...

#32. meta learning - 英語_讀音_用法 - 海词词典

meta learning 的用法和樣例：. 例句. By relying on distance education and web-based learning, RTV university students depend more on their initiative, autonomy ...

#33. MEDA: Meta-Learning with Data Augmentation for Few-Shot ...

Meta -learning has recently emerged as a promising technique to address the challenge of few-shot learning. However, standard meta-learning methods mainly ...

#34. (PDF) Meta-Learning - Concepts and Techniques

The field of meta-learning has as one of its primary goals the understanding of the interaction between the mechanism of learning and the concrete contexts in ...

#35. Meta-Learning

In the meta-learning phase, the model learns an initial set of parameters slowly across tasks; during the adaptation phase, it focuses on quick acquisition of ...

#36. Meta Learning - Home | Facebook

位於屯門，以高中補習為主，提供香港中學文憑試(HKDSE)主科補習服務：中文DSE補習班、英文DSE 補習班、數學DSE 補底班、DSE 通識班B09, 1/F, No.9 Leung Tak Street.

#37. Meta Learning 入門：MAML 和Reptile - GetIt01

Meta Learning 中文翻譯為「元學習」，它研究的不是如何提升模型解決某項具體的任務（分類，回歸，檢測）的能力，而是研究如何提升模型解決一系列任務的能力。 如果把訓練 ...

#38. An Overview of Meta-Learning - Section.io

Very simply defined, meta-learning means learning to learn. It is a learning process that applies to understand algorithms to metadata.

#39. Learning Theory for Continual and Meta-Learning - IST User ...

"Multi-Task Learning with Labeled and Unlabeled Tasks", ICML 2017]. 28 / 1. Page 47. Baxter's Learning to Learn Scenario (=Meta-Learning). Assumption: tasks don ...

#40. Meta-learning in natural and artificial intelligence | DeepMind

Meta -learning, or learning to learn, has gained renewed interest in recent years within the artificial intelligence community.

#41. Meta Learning（元学习） - BiliBili

#42. Meta-Learning for Generalized Zero-Shot Learning

Note that this setting is somewhat similar to few-shot learning or meta-learning (Finn, Abbeel, and Levine 2017) where the goal is to learn a classifier using ...

#43. Meta-learning on Heterogeneous Information Networks for ...

Meta -learning on Heterogeneous Information Networks for Cold-start Recommendation. Yuanfu Lu: Beijing University of Posts and Telecommunications; ...

#44. Meta Learning/Learning to Learn, 到底我們要學會學習什麼？

2017年馬上就要過去了，在這一年中，肯定很多搞深度學習的知友都會看到Meta Learning/ Learning to Learn 這個詞。是的，它今年很火。

#45. Tutorial 12: Meta-Learning - PyTorch Lightning

Tutorial 12: Meta-Learning - Learning to Learn ... In this tutorial, we will discuss algorithms that learn models which can quickly adapt to new ...

#46. 最前沿：百家爭鳴的Meta Learning/Learning to learn - 每日頭條

Meta Learning 是實現通用人工智慧的關鍵！在本文之前，專欄已經發布了兩篇和Meta Learning相關的文章：. 學會學習Learning to Learn：讓AI擁有核心 ...

#47. A meta-learning approach for genomic survival analysis - Nature

In this context, meta-learning is an area in deep learning research that has gained much attention in recent years which addresses the problem ...

#48. Meta Learning and Its Applications to Human Language ...

Deep learning based human language technology (HLT), such as automatic speech recognition, intent and slot recognit.

#49. from Few-Shot Learning to Rapid Reinforcement ... - ICML 2019

Tl;dr: We will provide a unified perspective of how a variety of meta-learning algorithms enable learning from small datasets, an overview of applications ...

#50. Learning to Forget for Meta-Learning via Task-and-Layer ...

Meta -learning tackles few-shot learning via the learning of prior knowledge shared across tasks and using it to learn new tasks.

#51. Knowledge Distillation for Model-Agnostic Meta-Learning

Recently, model-agnostic meta-learning (MAML) and its variants have drawn much attention in few-shot learning. In this paper, we investigate how to improve the ...

#52. Fairness-Aware Online Meta-learning

To overcome such issues and bridge the gap, in this paper for the first time we proposed a novel online meta-learning algorithm, namely FFML, ...

#53. Meta-Learning for Wrestling - OpenAI

for Wrestling. We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger ...

#54. A Preliminary Study on Leveraging Meta Learning Technique ...

(Model-Agnostic Meta-Learning, MAML)進行語音辨識器訓練，實驗結果證明，模型能夠 ... we propose a meta-learning approach for code-switching speech recognition ...

#55. What is Meta-Learning? - Unite.AI

The term meta-learning was coined by Donald Maudsley to describe a process by which people begin to shape what they learn, becoming “ ...

#56. How To Make Meta-learning More Effective - Analytics India ...

Meta -learning was introduced to make machine learning models to learn new skills and adapt to the ever changing environments in the presence ...

#57. What is Meta Learning? | Packt Hub

Meta Learning, an original concept of cognitive psychology, is now applied to machine learning techniques. If we go by the social psychology ...

#58. Meta learning using one-shot learning, MAML, Reptile, and Meta

Amazon.com: Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow eBook : Ravichandiran, ...

#59. Meta-learning in natural and artificial intelligence - Science ...

Meta -learning, or learning to learn, has gained renewed interest in recent years within the artificial intelligence community.

#60. [转载]Meta Learning单排小教学- marsggbo - 博客园

通过大量的样本进行训练，训练完，这个模型就可以用在特定任务上。 说完Deep Learning研究什么，那Meta Learning呢？ 1|1Meta Learning研究Task！

#61. The art of Learning to Learn by using the Power of Meta ...

We are not focused on label acquisition in the world of meta-learning; rather we are trying to create a system that learns quickly from a ...

#62. Exploring Evolutionary Meta-Learning in Robotics - Google AI ...

In order to train a policy to meta-learn, it is necessary to encourage a policy to adapt during simulation. Normally, this can be achieved by ...

#63. DeepMind's Bootstrapped Meta-Learning Enables ... - Synced

The field of meta-learning studies how to enable machine learners to learn how to learn, and is a critical research area for improving the ...

#64. 元學習Meta-Learning—授人以魚不如授人以漁

目錄. 背景; Meta-Learning的資料劃分; MAML演算法; MAML的思考; 參考. 背景. 我們知道現在深度學習在使用大型資料集掌握一項任務（檢測，分類等） ...

#65. 【元學習】Meta Learning 介紹 - 台部落

目錄元學習（Meta-learning） 元學習被用在了哪些地方？ Few-Shot Learning（小樣本學習） 最近的元學習方法如何工作Model-Agnostic Meta-Learning ...

#66. Meta-Learning: An Overview and Applications - LatentView ...

Meta -Learning (Learning to Learn) is the science to design models that can learn new skills or adapt to various environments by observing ...

#67. 什么是元学习-Meta learning？（为什么它很重要）

元学习– Meta learning. 文章目录. 为什么元学习很重要？ 什么是元学习？ 维基百科 ...

#68. Graph Meta Learning - Marinka Zitnik Lab

When data for a new task are scarce, meta learning can learn from prior experiences and form much-needed inductive biases for fast adaptation to new tasks.

#69. Tutorial #2: few-shot learning and meta-learning I - Borealis AI

Meta -learning framework. An algorithm is trained using a series of training tasks. Here, each task is a 3-way-2-shot classification problem ...

#70. [PDF] Meta-Learning in Neural Networks: A Survey - Semantic ...

The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches ...

#71. A Beginner's Guide to Meta-Learning - Abacus.AI Blog

Meta -learning simply means “learning to learn.” Whenever we learn any new skill there is some prior experience we can relate to, which makes the ...

#72. Meta-learning, Stacking and Mixture of Experts

Ensemble methods were introduced in a previous tutorial . In this tutorial we will explore two more ensemble learning algorithms, ...

#73. Meta-Learning：Learning to Learn and Applications - 闪念基因

为什幺要用Meta-Learning 呢？先来看看传统监督学习的paradigm：在training set 上利用examples 来training (update model parameter)，然后在test set 上 ...

#74. Meta-learning beyond few-shot learning - Sebastian Flennerhag

Meta -learning takes a set of tasks, each with a training and test set, and learns how to adapt a task learner to any one of them. The goal is to ...

#75. Metalearning - Scholarpedia

Meta -learning may reduce the efforts for designing domain-specific learning algorithms, and lead to more robust and general learning ...

#76. Meta-Learning: The Importance of Thinking about Thinking

Meta -learning helps within subjects, and it helps to reach outside of them. It makes us more likely to transfer what we know from one sphere of ...

#77. 為何人類能接收比AI更少的訊息就學會工作？DeepMind發表 ...

... 撰寫了一篇網誌介紹了論文的主要內容。#趨勢,人工智慧,DeepMind,類神經網路,meta-learning,元學習,前額系統,多巴胺,神經科學(deepmind-meta-learning)

#78. Few-Shot Image Classification with Meta-Learning - KDnuggets

The most popular solutions right now use meta-learning, or in three words: learning to learn. Keep reading if you want to know what it is and how it works ...

#79. Meta-Learning in Computational Intelligence - 第 3 頁 - Google 圖書結果

First the difference between learning and meta-learning should be pointed out. Both the learning and meta-learning are considering in the context of ...

#80. Why Meta-learning is Crucial for Further Advances of Artificial ...

One of the main direction in meta-learning is having a meta level system utilizing a Knowledge Repository. We give an example in the data mining ...

#81. Hands-On Meta Learning with Python: Meta learning using ...

Meta learning is one of the most promising and trending research areas in the field of artificial intelligence right now. It is believed to be a stepping ...

#82. 屯門高中補習- Meta Learning

本校位於屯門，為教育署註冊中學補習社，主要為各高中生提供香港中學DSE補習服務。除了香港中學文憑試(HKDSE) 補習外，我們亦設有初中主科補習(中文，英文，數學)。

#83. MetaGenRL: Improving Generalization in Meta Reinforcement ...

Biological evolution has distilled the experiences of many learners into the general learning algorithms of humans. Inspired by this process ...

#84. Learning How to Learn: Powerful mental tools to help you ...

This course gives you easy access to the invaluable learning techniques used by ... Test Preparation; Learning To Learn; Pomodoro Technique; Meta Learning ...

#85. Software Engineer, Machine Learning | Facebook Careers

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, ...

#86. [6주차] Introduction to Meta Learning - velog

Summary : Learning to learn. 1. Introduction. Limitations. 기존 ML/DL 방법론에는 한계가 존재합니다. Large dataset (+Large model) 을 통해 ...

#87. The Facebook Company Is Now Meta

CEO Mark Zuckerberg announced Meta, a new company brand for ... and a $150-million investment in immersive learning to train the next ...

#88. Meta-Learning for Semi-Supervised Few-Shot Classification ...

Meta -Learning for Semi-Supervised Few-Shot Classification. （用于半监督少样本分类的元学习）. 2021-11-09 23:48 5阅读 0赞 ...

#89. Jim Kwik on How to Learn Anything Faster - Wellness Mama

184: Meta Learning, Speed Reading, & How to Learn Faster With Jim Kwik. September 3, 2018 (Updated: April 23, 2020) — by Katie Wells. Meta Learning, Speed ...

#90. Metric-based Multimodal Meta-learning For Human Movement ...

Listen to Metric-based Multimodal Meta-learning For Human Movement Identification Via Footstep Recognition and forty-nine more episodes by ...

#91. Meta is still working on changes recommended during last ...

More than a year after failing its first civil rights audit, Meta says ... when developing or deploying AI and machine learning models” and ...

#92. 'Metaverse' and the educational potential: Is it so far away?

It creates an immersive learning experience such as demonstrated in this video from Meta themselves: ...

#93. Meta hiring Learning Operations Specialist in United States

Learning Operations Specialist. Meta United States. 1 day ago 80 applicants. See who Meta has hired for this role. No longer accepting applications.

#94. HTML meta tag - W3Schools

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning. Tutorials, references, and examples are ...