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The Effect of Diversity in Meta-Learning

The Effect of Diversity in Meta-Learning

27 January 2022
Ramnath Kumar
T. Deleu
Yoshua Bengio
ArXivPDFHTML

Papers citing "The Effect of Diversity in Meta-Learning"

16 / 16 papers shown
Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
71
0
0
12 Mar 2025
On the Role of Depth and Looping for In-Context Learning with Task
  Diversity
On the Role of Depth and Looping for In-Context Learning with Task Diversity
Khashayar Gatmiry
Nikunj Saunshi
Sashank J. Reddi
Stefanie Jegelka
Sanjiv Kumar
38
2
0
29 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive
  Learning
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning
Shiguang Wu
Yaqing Wang
Yatao Bian
Quanming Yao
CLL
36
0
0
08 Oct 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer
  Learning for Skin Disease Classification in Long-Tail Distribution
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir
H. Keles
Ö. Ö. Tanriöver
42
0
0
25 Apr 2024
Exploring Active Learning in Meta-Learning: Enhancing Context Set
  Labeling
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
Wonho Bae
Jing Wang
Danica J. Sutherland
47
1
0
06 Nov 2023
Towards Task Sampler Learning for Meta-Learning
Towards Task Sampler Learning for Meta-Learning
Wenwen Qiang
Wenwen Qiang
Xingzhe Su
Changwen Zheng
Gang Hua
Hui Xiong
30
10
0
18 Jul 2023
Pretraining task diversity and the emergence of non-Bayesian in-context
  learning for regression
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Allan Raventós
Mansheej Paul
F. Chen
Surya Ganguli
32
74
0
26 Jun 2023
Is Pre-training Truly Better Than Meta-Learning?
Is Pre-training Truly Better Than Meta-Learning?
Brando Miranda
P. Yu
Saumya Goyal
Yu-xiong Wang
Oluwasanmi Koyejo
44
5
0
24 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
32
6
0
15 Jun 2023
The Curse of Low Task Diversity: On the Failure of Transfer Learning to
  Outperform MAML and Their Empirical Equivalence
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
Brando Miranda
P. Yu
Yu-xiong Wang
Oluwasanmi Koyejo
34
10
0
02 Aug 2022
Boosting Exploration in Multi-Task Reinforcement Learning using
  Adversarial Networks
Boosting Exploration in Multi-Task Reinforcement Learning using Adversarial Networks
Ramnath Kumar
T. Deleu
Yoshua Bengio
19
0
0
27 Jan 2022
Task Augmentation by Rotating for Meta-Learning
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Rongrong Ji
Chih-Min Lin
67
33
0
08 Feb 2020
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
225
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
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
422
11,715
0
09 Mar 2017
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
176
1,124
0
25 Jul 2012
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