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Meta-Learning with Implicit Gradients

Meta-Learning with Implicit Gradients

10 September 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "Meta-Learning with Implicit Gradients"

50 / 521 papers shown
Title
Few-Shot Unsupervised Continual Learning through Meta-Examples
Few-Shot Unsupervised Continual Learning through Meta-Examples
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Andrea Passerini
CLLSSL
75
8
0
17 Sep 2020
A Markov Decision Process Approach to Active Meta Learning
A Markov Decision Process Approach to Active Meta Learning
Bingjia Wang
Alec Koppel
Vikram Krishnamurthy
42
1
0
10 Sep 2020
A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees
Deepan Muthirayan
Pramod P. Khargonekar
86
0
0
30 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
114
108
0
13 Aug 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender
  Systems
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Jiaxi Tang
Hongyi Wen
Ke Wang
AAML
75
83
0
11 Aug 2020
Two-Timescale Stochastic Gradient Descent in Continuous Time with
  Applications to Joint Online Parameter Estimation and Optimal Sensor
  Placement
Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement
Louis Sharrock
N. Kantas
68
7
0
31 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Yunxiao Qin
Weiguo Zhang
Zezheng Wang
Chenxu Zhao
Jingping Shi
51
7
0
16 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons
Gradient-based Hyperparameter Optimization Over Long Horizons
P. Micaelli
Amos Storkey
121
15
0
15 Jul 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis
  and Application to Actor-Critic
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
Mingyi Hong
Hoi-To Wai
Zhaoran Wang
Zhuoran Yang
86
141
0
10 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer
Learning Graph Structure With A Finite-State Automaton Layer
Daniel D. Johnson
Hugo Larochelle
Daniel Tarlow
GNNAI4CE
77
17
0
09 Jul 2020
Covariate Distribution Aware Meta-learning
Covariate Distribution Aware Meta-learning
Amrith Rajagopal Setlur
Saket Dingliwal
Barnabás Póczós
OODBDL
86
0
0
06 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
92
54
0
02 Jul 2020
Uniform Priors for Data-Efficient Transfer
Uniform Priors for Data-Efficient Transfer
Samarth Sinha
Karsten Roth
Anirudh Goyal
Marzyeh Ghassemi
Hugo Larochelle
Animesh Garg
OOD
121
0
0
30 Jun 2020
On the Iteration Complexity of Hypergradient Computation
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi
Luca Franceschi
Massimiliano Pontil
Saverio Salzo
122
197
0
29 Jun 2020
Global Convergence and Generalization Bound of Gradient-Based
  Meta-Learning with Deep Neural Nets
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets
Haoxiang Wang
Ruoyu Sun
Bo Li
MLTAI4CE
86
14
0
25 Jun 2020
Understanding Deep Architectures with Reasoning Layer
Understanding Deep Architectures with Reasoning Layer
Xinshi Chen
Yufei Zhang
C. Reisinger
Le Song
AI4CE
127
7
0
24 Jun 2020
On the Global Optimality of Model-Agnostic Meta-Learning
On the Global Optimality of Model-Agnostic Meta-Learning
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
71
44
0
23 Jun 2020
Auxiliary Learning by Implicit Differentiation
Auxiliary Learning by Implicit Differentiation
Aviv Navon
Idan Achituve
Haggai Maron
Gal Chechik
Ethan Fetaya
87
59
0
22 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for
  End-to-End Learning and Control
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
Ioannis Exarchos
M. Pereira
Ziyi Wang
Evangelos A. Theodorou
62
4
0
22 Jun 2020
Gradient-EM Bayesian Meta-learning
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
BDL
100
15
0
21 Jun 2020
Meta Learning in the Continuous Time Limit
Meta Learning in the Continuous Time Limit
Ruitu Xu
Lin Chen
Amin Karbasi
60
14
0
19 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in
  Generative Models
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh
Sharare Zehtabian
Saeed Vahidian
Weijia Wang
Bill Lin
Ladislau Bölöni
53
36
0
18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
69
251
0
17 Jun 2020
Learning to Learn with Feedback and Local Plasticity
Learning to Learn with Feedback and Local Plasticity
Jack W Lindsey
Ashok Litwin-Kumar
CLL
74
33
0
16 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial
  Parameters
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji
Jason D. Lee
Yingbin Liang
H. Vincent Poor
206
76
0
16 Jun 2020
Monotone operator equilibrium networks
Monotone operator equilibrium networks
Ezra Winston
J. Zico Kolter
86
130
0
15 Jun 2020
Meta Approach to Data Augmentation Optimization
Meta Approach to Data Augmentation Optimization
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
84
35
0
14 Jun 2020
Proximal Mapping for Deep Regularization
Proximal Mapping for Deep Regularization
Mao Li
Yingyi Ma
Xinhua Zhang
47
3
0
14 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and
  Architectures
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeongun Ryu
Jaewoong Shin
Haebeom Lee
Sung Ju Hwang
AAMLOOD
50
8
0
13 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning
Attentive Feature Reuse for Multi Task Meta learning
Kiran Lekkala
Laurent Itti
OOD
71
7
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
72
34
0
11 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
75
1
0
08 Jun 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming
  Beyond Lower-Level Singleton
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu
Pan Mu
Xiaoming Yuan
Shangzhi Zeng
Jin Zhang
78
131
0
07 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization
UFO-BLO: Unbiased First-Order Bilevel Optimization
Valerii Likhosherstov
Xingyou Song
K. Choromanski
Jared Davis
Adrian Weller
130
7
0
05 Jun 2020
When Does MAML Objective Have Benign Landscape?
When Does MAML Objective Have Benign Landscape?
Igor Molybog
Javad Lavaei
44
7
0
31 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
121
194
0
28 May 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image
  Categorization with Few Labeled Samples
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
89
57
0
28 May 2020
Multitask Learning with Single Gradient Step Update for Task Balancing
Multitask Learning with Single Gradient Step Update for Task Balancing
Sungjae Lee
Youngdoo Son
87
22
0
20 May 2020
Meta-Learning for Few-Shot Land Cover Classification
Meta-Learning for Few-Shot Land Cover Classification
M. Rußwurm
Sherrie Wang
Marco Körner
David B. Lobell
83
84
0
28 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
58
128
0
16 Apr 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
418
2,004
0
11 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain
  Adaptation
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Da Li
Timothy M. Hospedales
84
103
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
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
101
1
0
08 Apr 2020
Learning Meta Face Recognition in Unseen Domains
Learning Meta Face Recognition in Unseen Domains
Jianzhu Guo
Xiangyu Zhu
Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
CVBMOOD
94
144
0
17 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
99
119
0
15 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
72
48
0
11 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
73
196
0
09 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
101
91
0
06 Mar 2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level
  Optimization
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
Shihao Jiang
Dylan Campbell
Miaomiao Liu
Stephen Gould
Leonid Sigal
MDE
64
9
0
26 Feb 2020
A Sample Complexity Separation between Non-Convex and Convex
  Meta-Learning
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
Nikunj Saunshi
Yi Zhang
M. Khodak
Sanjeev Arora
56
27
0
25 Feb 2020
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