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General-Purpose In-Context Learning by Meta-Learning Transformers

General-Purpose In-Context Learning by Meta-Learning Transformers

8 December 2022
Louis Kirsch
James Harrison
Jascha Narain Sohl-Dickstein
Luke Metz
ArXivPDFHTML

Papers citing "General-Purpose In-Context Learning by Meta-Learning Transformers"

18 / 18 papers shown
Title
How Private is Your Attention? Bridging Privacy with In-Context Learning
How Private is Your Attention? Bridging Privacy with In-Context Learning
Soham Bonnerjee
Zhen Wei
Yeon
Anna Asch
Sagnik Nandy
Promit Ghosal
40
0
0
22 Apr 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
32
1
0
17 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
30
1
0
04 Oct 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
54
0
0
25 May 2024
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved
  In-Context Learning
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
Sanchit Sinha
Yuguang Yue
Victor Soto
Mayank Kulkarni
Jianhua Lu
Aidong Zhang
LRM
29
4
0
19 May 2024
An Information-Theoretic Analysis of In-Context Learning
An Information-Theoretic Analysis of In-Context Learning
Hong Jun Jeon
Jason D. Lee
Qi Lei
Benjamin Van Roy
15
18
0
28 Jan 2024
The mechanistic basis of data dependence and abrupt learning in an
  in-context classification task
The mechanistic basis of data dependence and abrupt learning in an in-context classification task
Gautam Reddy
19
48
0
03 Dec 2023
In-Context Learning Learns Label Relationships but Is Not Conventional
  Learning
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Jannik Kossen
Y. Gal
Tom Rainforth
30
27
0
23 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
19
69
0
10 Jul 2023
Large Language Models as General Pattern Machines
Large Language Models as General Pattern Machines
Suvir Mirchandani
F. Xia
Peter R. Florence
Brian Ichter
Danny Driess
Montse Gonzalez Arenas
Kanishka Rao
Dorsa Sadigh
Andy Zeng
LLMAG
39
183
0
10 Jul 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
15
145
0
20 Dec 2022
Neural Networks and the Chomsky Hierarchy
Neural Networks and the Chomsky Hierarchy
Grégoire Delétang
Anian Ruoss
Jordi Grau-Moya
Tim Genewein
L. Wenliang
...
Chris Cundy
Marcus Hutter
Shane Legg
Joel Veness
Pedro A. Ortega
UQCV
94
129
0
05 Jul 2022
Minimal Neural Network Models for Permutation Invariant Agents
Minimal Neural Network Models for Permutation Invariant Agents
J. Pedersen
S. Risi
43
3
0
12 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Meta Learning Backpropagation And Improving It
Meta Learning Backpropagation And Improving It
Louis Kirsch
Jürgen Schmidhuber
40
56
0
29 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 2019
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
243
11,568
0
09 Mar 2017
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