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1909.04630
Cited By
Meta-Learning with Implicit Gradients
Neural Information Processing Systems (NeurIPS), 2019
10 September 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
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Papers citing
"Meta-Learning with Implicit Gradients"
50 / 551 papers shown
Meta Learning in the Continuous Time Limit
Ruitu Xu
Lin Chen
Amin Karbasi
144
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Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh
Sharare Zehtabian
Saeed Vahidian
Weijia Wang
Bill Lin
Ladislau Bölöni
150
39
0
18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
185
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0
17 Jun 2020
Learning to Learn with Feedback and Local Plasticity
Jack W Lindsey
Ashok Litwin-Kumar
CLL
156
35
0
16 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji
Jason D. Lee
Yingbin Liang
H. Vincent Poor
442
87
0
16 Jun 2020
Monotone operator equilibrium networks
Ezra Winston
J. Zico Kolter
260
147
0
15 Jun 2020
Meta Approach to Data Augmentation Optimization
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
177
40
0
14 Jun 2020
Proximal Mapping for Deep Regularization
Neural Information Processing Systems (NeurIPS), 2020
Mao Li
Yingyi Ma
Xinhua Zhang
116
3
0
14 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Neural Information Processing Systems (NeurIPS), 2020
Jeongun Ryu
Jaewoong Shin
Haebeom Lee
Sung Ju Hwang
AAML
OOD
171
8
0
13 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning
Kiran Lekkala
Laurent Itti
OOD
158
7
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
International Conference on Machine Learning (ICML), 2020
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
221
34
0
11 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
153
1
0
08 Jun 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu
Pan Mu
Xiaoming Yuan
Shangzhi Zeng
Jin Zhang
265
143
0
07 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization
Valerii Likhosherstov
Xingyou Song
K. Choromanski
Jared Davis
Adrian Weller
230
7
0
05 Jun 2020
When Does MAML Objective Have Benign Landscape?
Igor Molybog
Javad Lavaei
103
7
0
31 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Computer Vision and Pattern Recognition (CVPR), 2020
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
257
217
0
28 May 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
287
69
0
28 May 2020
Multitask Learning with Single Gradient Step Update for Task Balancing
Sungjae Lee
Youngdoo Son
209
25
0
20 May 2020
Meta-Learning for Few-Shot Land Cover Classification
M. Rußwurm
Sherrie Wang
Marco Körner
David B. Lobell
209
97
0
28 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
151
136
0
16 Apr 2020
Meta-Learning in Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
764
2,403
0
11 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
European Conference on Computer Vision (ECCV), 2020
Da Li
Timothy M. Hospedales
221
109
0
09 Apr 2020
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul
Pichayoot Ouppaphan
Pitshaporn Leelaarporn
Payongkit Lakhan
Busarakum Chaitusaney
...
Ekapol Chuangsuwanich
Wei Chen
Huy Phan
Nat Dilokthanakul
Theerawit Wilaiprasitporn
281
1
0
08 Apr 2020
Learning Meta Face Recognition in Unseen Domains
Computer Vision and Pattern Recognition (CVPR), 2020
Jianzhu Guo
Xiangyu Zhu
Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
CVBM
OOD
233
155
0
17 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
434
158
0
15 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Neural Information Processing Systems (NeurIPS), 2020
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
163
52
0
11 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
European Conference on Computer Vision (ECCV), 2020
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
243
207
0
09 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
International Conference on Machine Learning (ICML), 2020
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
257
93
0
06 Mar 2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
International Conference on 3D Vision (3DV), 2020
Shihao Jiang
Dylan Campbell
Miaomiao Liu
Stephen Gould
Leonid Sigal
MDE
154
9
0
26 Feb 2020
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
International Conference on Machine Learning (ICML), 2020
Nikunj Saunshi
Yi Zhang
M. Khodak
Sanjeev Arora
101
30
0
25 Feb 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization
International Conference on Machine Learning (ICML), 2020
Sanjeev Arora
S. Du
Sham Kakade
Yuping Luo
Nikunj Saunshi
202
65
0
24 Feb 2020
Meta-learning for mixed linear regression
International Conference on Machine Learning (ICML), 2020
Weihao Kong
Raghav Somani
Zhao Song
Sham Kakade
Sewoong Oh
176
70
0
20 Feb 2020
Structured Prediction for Conditional Meta-Learning
Ruohan Wang
Y. Demiris
C. Ciliberto
CLL
242
6
0
20 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Kaiyi Ji
Junjie Yang
Yingbin Liang
249
51
0
18 Feb 2020
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Alireza Fallah
Kristian Georgiev
Aryan Mokhtari
Asuman Ozdaglar
212
29
0
12 Feb 2020
On Parameter Tuning in Meta-learning for Computer Vision
F. Mohammadi
M. Amini
H. Arabnia
179
13
0
11 Feb 2020
Bayesian Meta-Prior Learning Using Empirical Bayes
Management Sciences (MS), 2020
Sareh Nabi
Houssam Nassif
Joseph Hong
H. Mamani
Guido Imbens
350
22
0
04 Feb 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
International Conference on Machine Learning (ICML), 2020
Vlad Niculae
André F. T. Martins
TPM
324
21
0
13 Jan 2020
Learning to Impute: A General Framework for Semi-supervised Learning
Wei-Hong Li
Chuan-Sheng Foo
Hakan Bilen
SSL
254
10
0
22 Dec 2019
Attention network forecasts time-to-failure in laboratory shear experiments
H. Jasperson
D. C. Bolton
P. Johnson
R. Guyer
C. Marone
Maarten V. de Hoop
178
26
0
12 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop
IEEE Transactions on Computational Imaging (TCI), 2019
Michael R. Kellman
Jonathan I. Tamir
E. Bostan
Michael Lustig
Laura Waller
SupR
168
63
0
11 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
194
10
0
03 Dec 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization
Asian Conference on Machine Learning (ACML), 2019
Akshay Mehra
Jihun Hamm
839
52
0
08 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
328
453
0
06 Nov 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Massimiliano Patacchiola
Jack Turner
Elliot J. Crowley
Michael F. P. O'Boyle
Amos Storkey
BDL
216
20
0
11 Oct 2019
Generalized Inner Loop Meta-Learning
Jaya Kumar Alageshan
Brandon Amos
A. Verma
Phu Mon Htut
Artem Molchanov
Franziska Meier
Douwe Kiela
Dong Wang
Soumith Chintala
AI4CE
205
162
0
03 Oct 2019
The Differentiable Cross-Entropy Method
International Conference on Machine Learning (ICML), 2019
Brandon Amos
Denis Yarats
381
58
0
27 Sep 2019
Modular Meta-Learning with Shrinkage
Neural Information Processing Systems (NeurIPS), 2019
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELM
OffRL
232
35
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12 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
399
249
0
27 Aug 2019
Meta Architecture Search
Albert Eaton Shaw
Wei Wei
Weiyang Liu
Le Song
Bo Dai
BDL
152
38
0
22 Dec 2018
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![BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
Communication)](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8xOTEyLjAxNTEzL3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
