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1909.04630
Cited By
Meta-Learning with Implicit Gradients
10 September 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
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Papers citing
"Meta-Learning with Implicit Gradients"
50 / 521 papers shown
Title
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Offline Meta-Reinforcement Learning with Advantage Weighting
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Rafael Rafailov
Xue Bin Peng
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Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
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Hongyi Wen
Ke Wang
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Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement
Louis Sharrock
N. Kantas
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Layer-Wise Adaptive Updating for Few-Shot Image Classification
Yunxiao Qin
Weiguo Zhang
Zezheng Wang
Chenxu Zhao
Jingping Shi
51
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0
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Gradient-based Hyperparameter Optimization Over Long Horizons
P. Micaelli
Amos Storkey
121
15
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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
Daniel D. Johnson
Hugo Larochelle
Daniel Tarlow
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AI4CE
77
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0
09 Jul 2020
Covariate Distribution Aware Meta-learning
Amrith Rajagopal Setlur
Saket Dingliwal
Barnabás Póczós
OOD
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86
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06 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
92
54
0
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Uniform Priors for Data-Efficient Transfer
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Karsten Roth
Anirudh Goyal
Marzyeh Ghassemi
Hugo Larochelle
Animesh Garg
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121
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30 Jun 2020
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi
Luca Franceschi
Massimiliano Pontil
Saverio Salzo
122
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Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets
Haoxiang Wang
Ruoyu Sun
Bo Li
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86
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0
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Understanding Deep Architectures with Reasoning Layer
Xinshi Chen
Yufei Zhang
C. Reisinger
Le Song
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127
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On the Global Optimality of Model-Agnostic Meta-Learning
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
71
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0
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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
Ioannis Exarchos
M. Pereira
Ziyi Wang
Evangelos A. Theodorou
62
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0
22 Jun 2020
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
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100
15
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Meta Learning in the Continuous Time Limit
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Lin Chen
Amin Karbasi
60
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0
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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
53
36
0
18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
69
251
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17 Jun 2020
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
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Jason D. Lee
Yingbin Liang
H. Vincent Poor
206
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0
16 Jun 2020
Monotone operator equilibrium networks
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J. Zico Kolter
86
130
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15 Jun 2020
Meta Approach to Data Augmentation Optimization
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Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
84
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Proximal Mapping for Deep Regularization
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Yingyi Ma
Xinhua Zhang
47
3
0
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MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeongun Ryu
Jaewoong Shin
Haebeom Lee
Sung Ju Hwang
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50
8
0
13 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning
Kiran Lekkala
Laurent Itti
OOD
71
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0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
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Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
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72
34
0
11 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
75
1
0
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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
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UFO-BLO: Unbiased First-Order Bilevel Optimization
Valerii Likhosherstov
Xingyou Song
K. Choromanski
Jared Davis
Adrian Weller
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When Does MAML Objective Have Benign Landscape?
Igor Molybog
Javad Lavaei
44
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0
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Boosting Few-Shot Learning With Adaptive Margin Loss
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Weiran Huang
Xu Lan
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Zhenguo Li
Liwei Wang
121
194
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TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
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89
57
0
28 May 2020
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
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Sherrie Wang
Marco Körner
David B. Lobell
83
84
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A Game Theoretic Framework for Model Based Reinforcement Learning
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Igor Mordatch
Vikash Kumar
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58
128
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Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
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OOD
418
2,004
0
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Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
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Timothy M. Hospedales
84
103
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MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul
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Pitshaporn Leelaarporn
Payongkit Lakhan
Busarakum Chaitusaney
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Wei Chen
Huy Phan
Nat Dilokthanakul
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101
1
0
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Learning Meta Face Recognition in Unseen Domains
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Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
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0
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DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
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Yujun Cai
Guosheng Lin
Chunhua Shen
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Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
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Embedding Propagation: Smoother Manifold for Few-Shot Classification
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I. Laradji
Alexandre Drouin
Alexandre Lacoste
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196
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TaskNorm: Rethinking Batch Normalization for Meta-Learning
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Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
101
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Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
Shihao Jiang
Dylan Campbell
Miaomiao Liu
Stephen Gould
Leonid Sigal
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9
0
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A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
Nikunj Saunshi
Yi Zhang
M. Khodak
Sanjeev Arora
56
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0
25 Feb 2020
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