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Meta-Learning Requires Meta-Augmentation

Meta-Learning Requires Meta-Augmentation

10 July 2020
Janarthanan Rajendran
A. Irpan
Eric Jang
ArXivPDFHTML

Papers citing "Meta-Learning Requires Meta-Augmentation"

24 / 24 papers shown
Title
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
86
1
0
22 Jan 2025
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting
  Contrastive Learning for Text Classification
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification
Guanyi Mou
Yichuan Li
Kyumin Lee
33
3
0
26 Sep 2024
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Hui Xiong
Jiangmeng Li
48
1
0
13 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
53
6
0
28 Jul 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
Hersh Sanghvi
Spencer Folk
Camillo J Taylor
45
3
0
25 Jun 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
61
0
0
25 May 2024
Vision-Based Hand Gesture Customization from a Single Demonstration
Vision-Based Hand Gesture Customization from a Single Demonstration
Soroush Shahi
Cori Tymoszek Park
Richard Kang
Asaf Liberman
Oron Levy
Jun Gong
Abdelkareem Bedri
Gierad Laput
19
2
0
13 Feb 2024
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
Smooth Mathematical Function from Compact Neural Networks
Smooth Mathematical Function from Compact Neural Networks
I. K. Hong
21
0
0
31 Dec 2022
Wormhole MAML: Meta-Learning in Glued Parameter Space
Wormhole MAML: Meta-Learning in Glued Parameter Space
C. Chang
Yuan Gao
B. Lou
21
0
0
28 Dec 2022
A new benchmark for group distribution shifts in hand grasp regression
  for object manipulation. Can meta-learning raise the bar?
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?
Théo Morales
G. Lacey
OOD
27
0
0
31 Oct 2022
Robust Meta-learning with Sampling Noise and Label Noise via
  Eigen-Reptile
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Dong Chen
Lingfei Wu
Siliang Tang
Xiao Yun
Bo Long
Yueting Zhuang
VLM
NoLa
23
9
0
04 Jun 2022
Persian Natural Language Inference: A Meta-learning approach
Persian Natural Language Inference: A Meta-learning approach
Heydar Soudani
Mohammadreza Mojab
H. Beigy
32
1
0
18 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the
  context dataset
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim
Kyeongryeol Go
Se-Young Yun
27
20
0
11 Apr 2022
Diverse Preference Augmentation with Multiple Domains for Cold-start
  Recommendations
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Yan Zhang
Changyu Li
Ivor W. Tsang
Hui Xu
Lixin Duan
Hongzhi Yin
Wen Li
Jie Shao
21
9
0
01 Apr 2022
Towards Better Meta-Initialization with Task Augmentation for
  Kindergarten-aged Speech Recognition
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition
Yunzheng Zhu
Ruchao Fan
Abeer Alwan
CLL
31
4
0
24 Feb 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
Model-Based Offline Meta-Reinforcement Learning with Regularization
Sen Lin
Jialin Wan
Tengyu Xu
Yingbin Liang
Junshan Zhang
OffRL
25
17
0
07 Feb 2022
Meta-learning with an Adaptive Task Scheduler
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao
Yu-Xiang Wang
Ying Wei
P. Zhao
M. Mahdavi
Defu Lian
Chelsea Finn
OOD
30
45
0
26 Oct 2021
On the inductive biases of deep domain adaptation
On the inductive biases of deep domain adaptation
Rodrigue Siry
Louis Hémadou
Loïc Simon
F. Jurie
32
3
0
16 Sep 2021
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
13
46
0
05 Jun 2021
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Z. Li
47
81
0
26 Jul 2020
Task Augmentation by Rotating for Meta-Learning
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Rongrong Ji
Chih-Min Lin
59
33
0
08 Feb 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
177
639
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
338
11,684
0
09 Mar 2017
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