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Neuromodulated Meta-Learning

Neuromodulated Meta-Learning

11 November 2024
Wenwen Qiang
Huijie Guo
Jingyao Wang
Jiangmeng Li
Changwen Zheng
Hui Xiong
Gang Hua
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Papers citing "Neuromodulated Meta-Learning"

37 / 37 papers shown
Title
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Hui Xiong
Jiangmeng Li
116
2
0
13 Sep 2024
Image-based Freeform Handwriting Authentication with Energy-oriented
  Self-Supervised Learning
Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning
Wenwen Qiang
Luntian Mou
Changwen Zheng
Wen Gao
AAML
64
2
0
19 Aug 2024
Hacking Task Confounder in Meta-Learning
Hacking Task Confounder in Meta-Learning
Wenwen Qiang
Yi Ren
Changwen Zheng
Xingzhe Su
Changwen Zheng
Jingyao Wang
CML
84
9
0
10 Dec 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg
Shie Mannor
Gal Chechik
E. Meirom
OffRL
OOD
70
6
0
26 Jan 2023
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Momin Abbas
Quan-Wu Xiao
Lisha Chen
Pin-Yu Chen
Tianyi Chen
58
80
0
08 Jun 2022
Efficient Risk-Averse Reinforcement Learning
Efficient Risk-Averse Reinforcement Learning
Ido Greenberg
Yinlam Chow
Mohammad Ghavamzadeh
Shie Mannor
58
42
0
10 May 2022
Generalization Bounds For Meta-Learning: An Information-Theoretic
  Analysis
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi Chen
Changjian Shui
M. Marchand
81
44
0
29 Sep 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTA
OOD
60
82
0
30 Mar 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
Xueting Zhang
Debin Meng
Henry Gouk
Timothy M. Hospedales
BDL
UQCV
83
72
0
08 Jan 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment
  Design
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis
Natasha Jaques
Eugene Vinitsky
Alexandre M. Bayen
Stuart J. Russell
Andrew Critch
Sergey Levine
72
234
0
03 Dec 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
Learning Soft Labels via Meta Learning
Learning Soft Labels via Meta Learning
Nidhi Vyas
Shreyas Saxena
T. Voice
NoLa
67
30
0
20 Sep 2020
Meta-Learning Requires Meta-Augmentation
Meta-Learning Requires Meta-Augmentation
Janarthanan Rajendran
A. Irpan
Eric Jang
74
96
0
10 Jul 2020
Meta-Learning with Network Pruning
Meta-Learning with Network Pruning
Hongduan Tian
Bo Liu
Xiaotong Yuan
Qingshan Liu
49
27
0
07 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
349
6,792
0
13 Jun 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
375
1,974
0
11 Apr 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
452
3,427
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
341
18,739
0
13 Feb 2020
Meta-Learning without Memorization
Meta-Learning without Memorization
Mingzhang Yin
George Tucker
Mingyuan Zhou
Sergey Levine
Chelsea Finn
VLM
48
187
0
09 Dec 2019
Improved Few-Shot Visual Classification
Improved Few-Shot Visual Classification
Peyman Bateni
Raghav Goyal
Vaden Masrani
Frank Wood
Leonid Sigal
VLM
66
231
0
07 Dec 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
53
277
0
18 Oct 2019
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
300
644
0
19 Sep 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
96
855
0
10 Sep 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
66
242
0
18 Jun 2019
Meta-Learning Representations for Continual Learning
Meta-Learning Representations for Continual Learning
Khurram Javed
Martha White
KELM
CLL
80
319
0
29 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
51
171
0
28 Apr 2019
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
63
762
0
08 Oct 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
110
264
0
24 May 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
82
930
0
21 May 2018
Meta-Reinforcement Learning of Structured Exploration Strategies
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta
Russell Mendonca
YuXuan Liu
Pieter Abbeel
Sergey Levine
OffRL
84
343
0
20 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas Griffiths
BDL
83
509
0
26 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
281
4,047
0
16 Nov 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
92
1,118
0
31 Jul 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
806
11,894
0
09 Mar 2017
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
76
1,018
0
09 Nov 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
353
7,316
0
13 Jun 2016
On the Performance of ConvNet Features for Place Recognition
On the Performance of ConvNet Features for Place Recognition
Niko Sünderhauf
Feras Dayoub
S. Shirazi
B. Upcroft
Michael Milford
67
531
0
17 Jan 2015
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