ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.06782
  4. Cited By
A Nested Bi-level Optimization Framework for Robust Few Shot Learning

A Nested Bi-level Optimization Framework for Robust Few Shot Learning

13 November 2020
Krishnateja Killamsetty
Changbin Li
Chengli Zhao
Rishabh K. Iyer
Feng Chen
ArXivPDFHTML

Papers citing "A Nested Bi-level Optimization Framework for Robust Few Shot Learning"

9 / 9 papers shown
Title
Meta-Learning Symmetries by Reparameterization
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
51
94
0
06 Jul 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
293
641
0
19 Sep 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and
  Out-of-distribution Tasks
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
Haebeom Lee
Hayeon Lee
Donghyun Na
Saehoon Kim
Minseop Park
Eunho Yang
Sung Ju Hwang
BDL
OODD
50
106
0
30 May 2019
A Direct Approach to Robust Deep Learning Using Adversarial Networks
A Direct Approach to Robust Deep Learning Using Adversarial Networks
Huaxia Wang
Chun-Nam Yu
GAN
AAML
OOD
53
77
0
23 May 2019
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
53
756
0
08 Oct 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
119
1,419
0
24 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
132
8,807
0
25 Aug 2017
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
754
11,793
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
284
7,286
0
13 Jun 2016
1