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Meta-Learning with Fewer Tasks through Task Interpolation

Meta-Learning with Fewer Tasks through Task Interpolation

4 June 2021
Huaxiu Yao
Linjun Zhang
Chelsea Finn
ArXivPDFHTML

Papers citing "Meta-Learning with Fewer Tasks through Task Interpolation"

17 / 17 papers shown
Title
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
201
0
0
10 Jan 2025
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Hui Xiong
Jiangmeng Li
57
1
0
13 Sep 2024
Generating Synthetic Datasets by Interpolating along Generalized
  Geodesics
Generating Synthetic Datasets by Interpolating along Generalized Geodesics
JiaoJiao Fan
David Alvarez-Melis
29
10
0
12 Jun 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot
  Learning with Fewer Tasks
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Wenfang Sun
Yingjun Du
Xiantong Zhen
Fan Wang
Lingling Wang
Cees G. M. Snoek
19
3
0
17 May 2023
Understanding Multimodal Contrastive Learning and Incorporating Unpaired
  Data
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
Ryumei Nakada
Halil Ibrahim Gulluk
Zhun Deng
Wenlong Ji
James Zou
Linjun Zhang
SSL
VLM
42
37
0
13 Feb 2023
Mnemosyne: Learning to Train Transformers with Transformers
Mnemosyne: Learning to Train Transformers with Transformers
Deepali Jain
K. Choromanski
Kumar Avinava Dubey
Sumeet Singh
Vikas Sindhwani
Tingnan Zhang
Jie Tan
OffRL
44
9
0
02 Feb 2023
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
30
0
08 Oct 2022
Improving Meta-Learning Generalization with Activation-Based
  Early-Stopping
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy
C. Pal
Gonçalo Mordido
Sarath Chandar
40
3
0
03 Aug 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density
  Estimation Approach
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
Zohar Rimon
Aviv Tamar
Gilad Adler
OOD
OffRL
36
8
0
21 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on
  Imbalanced Data
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng
Jiayao Zhang
Linjun Zhang
Ting Ye
Yates Coley
Weijie J. Su
James Zou
43
16
0
06 Jun 2022
Interpolating Compressed Parameter Subspaces
Interpolating Compressed Parameter Subspaces
Siddhartha Datta
N. Shadbolt
37
5
0
19 May 2022
Multimodality in Meta-Learning: A Comprehensive Survey
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
57
53
0
28 Sep 2021
Adversarial Training Helps Transfer Learning via Better Representations
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
36
54
0
18 Jun 2021
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity Control
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
64
37
0
06 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
196
640
0
19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
178
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
496
11,727
0
09 Mar 2017
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