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Memory-Based Meta-Learning on Non-Stationary Distributions
v1v2 (latest)

Memory-Based Meta-Learning on Non-Stationary Distributions

International Conference on Machine Learning (ICML), 2023
6 February 2023
Tim Genewein
Grégoire Delétang
Anian Ruoss
L. Wenliang
Elliot Catt
Vincent Dutordoir
Jordi Grau-Moya
Laurent Orseau
Marcus Hutter
J. Veness
    BDL
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "Memory-Based Meta-Learning on Non-Stationary Distributions"

9 / 9 papers shown
Heterogeneous Adversarial Play in Interactive Environments
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu
Xinyi Yang
Jiayu Zhan
Wei Liang
Chi Zhang
Yixin Zhu
216
1
0
21 Oct 2025
Understanding Prompt Tuning and In-Context Learning via Meta-Learning
Understanding Prompt Tuning and In-Context Learning via Meta-Learning
Tim Genewein
Kevin Wenliang Li
Jordi Grau-Moya
Anian Ruoss
Laurent Orseau
Marcus Hutter
VPVLM
436
6
0
22 May 2025
In-context learning and Occam's razor
In-context learning and Occam's razor
Eric Elmoznino
Tom Marty
Tejas Kasetty
Léo Gagnon
Sarthak Mittal
Mahan Fathi
Dhanya Sridhar
Guillaume Lajoie
680
5
0
17 Oct 2024
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
David Heurtel-Depeiges
Anian Ruoss
J. Veness
Tim Genewein
678
11
0
07 Oct 2024
Learning Universal Predictors
Learning Universal PredictorsInternational Conference on Machine Learning (ICML), 2024
Jordi Grau-Moya
Tim Genewein
Marcus Hutter
Laurent Orseau
Grégoire Delétang
...
Anian Ruoss
Wenliang Kevin Li
Christopher Mattern
Matthew Aitchison
J. Veness
288
29
0
26 Jan 2024
Task-Distributionally Robust Data-Free Meta-Learning
Task-Distributionally Robust Data-Free Meta-Learning
Zixuan Hu
Yongxian Wei
Zhenyi Wang
Yongxian Wei
Baoyuan Wu
Chun Yuan
Dacheng Tao
362
4
0
23 Nov 2023
Meta-Learning Strategies through Value Maximization in Neural Networks
Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis
Javier Masís
Andrew M. Saxe
259
4
0
30 Oct 2023
Implicit meta-learning may lead language models to trust more reliable
  sources
Implicit meta-learning may lead language models to trust more reliable sourcesInternational Conference on Machine Learning (ICML), 2023
Dmitrii Krasheninnikov
Egor Krasheninnikov
Bruno Mlodozeniec
Tegan Maharaj
David M. Krueger
590
8
0
23 Oct 2023
Language Modeling Is Compression
Language Modeling Is CompressionInternational Conference on Learning Representations (ICLR), 2023
Grégoire Delétang
Anian Ruoss
Paul-Ambroise Duquenne
Elliot Catt
Tim Genewein
...
Wenliang Kevin Li
Matthew Aitchison
Laurent Orseau
Marcus Hutter
J. Veness
AI4CE
533
235
0
19 Sep 2023
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