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Meta-Learning to Improve Pre-Training

Meta-Learning to Improve Pre-Training

2 November 2021
Aniruddh Raghu
Jonathan Lorraine
Simon Kornblith
Matthew B. A. McDermott
D. Duvenaud
ArXivPDFHTML

Papers citing "Meta-Learning to Improve Pre-Training"

12 / 12 papers shown
Title
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
David Grangier
Simin Fan
Skyler Seto
Pierre Ablin
36
3
0
30 Sep 2024
JacNet: Learning Functions with Structured Jacobians
JacNet: Learning Functions with Structured Jacobians
Jonathan Lorraine
Safwan Hossain
40
6
0
23 Aug 2024
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
38
10
0
01 Dec 2022
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for
  Language Models
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
Hong Liu
Sang Michael Xie
Zhiyuan Li
Tengyu Ma
AI4CE
32
49
0
25 Oct 2022
Task Selection for AutoML System Evaluation
Task Selection for AutoML System Evaluation
Jon Lorraine
Nihesh Anderson
Chansoo Lee
Quentin de Laroussilhe
Mehadi Hassen
41
4
0
26 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen-li Ma
Zixuan Liu
Xue Liu
84
35
0
24 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Keun Choe
W. Neiswanger
P. Xie
Eric P. Xing
AI4CE
23
29
0
05 Jul 2022
Cluster Head Detection for Hierarchical UAV Swarm With Graph
  Self-supervised Learning
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning
Zhiyu Mou
J. Liu
Xiang Yun
F. Gao
Qi-hui Wu
23
2
0
08 Mar 2022
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
248
656
0
23 Mar 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
172
639
0
19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
666
0
07 Jun 2018
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
281
11,681
0
09 Mar 2017
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