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Meta Learning Backpropagation And Improving It

Meta Learning Backpropagation And Improving It

29 December 2020
Louis Kirsch
Jürgen Schmidhuber
ArXivPDFHTML

Papers citing "Meta Learning Backpropagation And Improving It"

6 / 6 papers shown
Title
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
45
89
0
05 Jul 2024
Meta-Learned Models of Cognition
Meta-Learned Models of Cognition
Marcel Binz
Ishita Dasgupta
A. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
16
23
0
12 Apr 2023
Why Can GPT Learn In-Context? Language Models Implicitly Perform
  Gradient Descent as Meta-Optimizers
Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
Damai Dai
Yutao Sun
Li Dong
Y. Hao
Shuming Ma
Zhifang Sui
Furu Wei
LRM
13
145
0
20 Dec 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function
  Classes
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg
Dimitris Tsipras
Percy Liang
Gregory Valiant
17
446
0
01 Aug 2022
Finding online neural update rules by learning to remember
Finding online neural update rules by learning to remember
Karol Gregor
CLL
21
6
0
06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
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