Memory-Based Meta-Learning on Non-Stationary Distributions

Memory-Based Meta-Learning on Non-Stationary Distributions

6 February 2023

Grégoire Delétang

Vincent Dutordoir

Jordi Grau-Moya

Marcus Hutter

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

9 / 9 papers shown

Title
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 32 1 0 17 Oct 2024
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data David Heurtel-Depeiges Anian Ruoss Joel Veness Tim Genewein 20 1 0 07 Oct 2024
Learning Universal Predictors Jordi Grau-Moya Tim Genewein Marcus Hutter Laurent Orseau Grégoire Delétang ... Anian Ruoss Wenliang Kevin Li Christopher Mattern Matthew Aitchison J. Veness 19 11 0 26 Jan 2024
Task-Distributionally Robust Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Yongxian Wei Baoyuan Wu Chun Yuan Dacheng Tao OOD 20 0 0 23 Nov 2023
Meta-Learning Strategies through Value Maximization in Neural Networks Rodrigo Carrasco-Davis Javier Masís Andrew M. Saxe 19 1 0 30 Oct 2023
Implicit meta-learning may lead language models to trust more reliable sources Dmitrii Krasheninnikov Egor Krasheninnikov Bruno Mlodozeniec Tegan Maharaj David M. Krueger 13 3 0 23 Oct 2023
Language Modeling Is Compression Grégoire Delétang Anian Ruoss Paul-Ambroise Duquenne Elliot Catt Tim Genewein ... Wenliang Kevin Li Matthew Aitchison Laurent Orseau Marcus Hutter J. Veness AI4CE 25 129 0 19 Sep 2023
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 245 695 0 27 Aug 2021
Combining Expert Advice Efficiently Wouter M. Koolen S. D. Rooij 77 33 0 14 Feb 2008