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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
Personalized Federated Learning with Server-Side Information
IEEE Access (IEEE Access), 2022
Jaehun Song
Min Hwan Oh
Hyung-Sin Kim
FedML
146
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23 May 2022
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees
Risheng Liu
Xuan Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
139
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20 May 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning
Neural Information Processing Systems (NeurIPS), 2022
Seanie Lee
Bruno Andreis
Kenji Kawaguchi
Juho Lee
Sung Ju Hwang
222
12
0
20 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
374
575
0
13 May 2022
Meta Balanced Network for Fair Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Mei Wang
Yaobin Zhang
Weihong Deng
CVBM
152
91
0
13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation
Yujin Kim
Jaehoon Oh
Sungnyun Kim
Se-Young Yun
286
10
0
13 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation
Neural Computation (Neural Comput.), 2022
Nicolas Zucchet
João Sacramento
371
32
0
06 May 2022
Generating Representative Samples for Few-Shot Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Aoxiang Fan
Hieu M. Le
VLM
233
90
0
05 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
International Conference on Learning Representations (ICLR), 2022
Jiajun He
Austin Tripp
José Miguel Hernández-Lobato
417
27
0
05 May 2022
Second-Order Sensitivity Analysis for Bilevel Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Robert Dyro
Edward Schmerling
Nikos Arechiga
Marco Pavone
135
3
0
04 May 2022
Learning Value Functions from Undirected State-only Experience
International Conference on Learning Representations (ICLR), 2022
Matthew Chang
Arjun Gupta
Saurabh Gupta
OffRL
184
9
0
26 Apr 2022
Control-oriented meta-learning
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
173
34
0
14 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning
Hengshuai Yao
398
0
0
01 Apr 2022
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization
Ziyi Chen
B. Kailkhura
Yi Zhou
215
11
0
30 Mar 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Computer Vision and Pattern Recognition (CVPR), 2022
Kaidong Li
Ziming Zhang
Cuncong Zhong
Guanghui Wang
3DPC
182
32
0
29 Mar 2022
Efficient Few-Shot Object Detection via Knowledge Inheritance
IEEE Transactions on Image Processing (IEEE TIP), 2022
Ze Yang
Chi Zhang
Ruibo Li
Yi Tian Xu
Guosheng Lin
VLM
219
43
0
23 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Marcin Sendera
Marcin Przewiȩźlikowski
Konrad Karanowski
Maciej Ziȩba
Jacek Tabor
Przemysław Spurek
VLM
226
36
0
21 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Haoxiang Wang
Yite Wang
Tian Ding
Yue Liu
216
39
0
17 Mar 2022
Context is Everything: Implicit Identification for Dynamics Adaptation
IEEE International Conference on Robotics and Automation (ICRA), 2022
Ben Evans
Abitha Thankaraj
Lerrel Pinto
145
30
0
10 Mar 2022
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning
Zhenhailong Wang
Hangyeol Yu
Pengfei Yu
Han Zhao
Heng Ji
VLM
157
1
0
09 Mar 2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Keqian Li
Yifan Hu
Logan Palanisamy
Lisa Jones
A. Gupta
J. E. Grigsby
Ili Selinger
Matt Gillingham
Fei Tan
151
1
0
09 Mar 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Dong-Ki Kim
Matthew D Riemer
Miao Liu
Jakob N. Foerster
Michael Everett
Chuangchuang Sun
Gerald Tesauro
Jonathan P. How
391
0
0
07 Mar 2022
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Florian Lux
Ngoc Thang Vu
235
34
0
07 Mar 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lisha Chen
Tianyi
BDL
181
21
0
06 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning
International Conference on Learning Representations (ICLR), 2022
Alex Gu
Songtao Lu
Parikshit Ram
Tsui-Wei Weng
285
11
0
03 Mar 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation
International Conference on Learning Representations (ICLR), 2022
T. Deleu
David Kanaa
Leo Feng
Giancarlo Kerg
Yoshua Bengio
Guillaume Lajoie
Pierre-Luc Bacon
252
21
0
02 Mar 2022
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima
Daouda Sow
Kaiyi Ji
Ziwei Guan
Yingbin Liang
314
11
0
01 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Sergey Bartunov
F. Fuchs
Timothy Lillicrap
224
9
0
25 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yadan Luo
Zijian Wang
Zhuoxiao Chen
Zi Huang
Mahsa Baktashmotlagh
AI4CE
240
44
0
13 Feb 2022
Efficiently Escaping Saddle Points in Bilevel Optimization
Minhui Huang
Xuxing Chen
Kaiyi Ji
Shiqian Ma
Lifeng Lai
254
28
0
08 Feb 2022
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start
Journal of machine learning research (JMLR), 2022
Riccardo Grazzi
Massimiliano Pontil
Saverio Salzo
420
16
0
07 Feb 2022
When Do Flat Minima Optimizers Work?
Neural Information Processing Systems (NeurIPS), 2022
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
526
86
0
01 Feb 2022
Tutorial on amortized optimization
Brandon Amos
OffRL
814
77
0
01 Feb 2022
COIN++: Neural Compression Across Modalities
Emilien Dupont
H. Loya
Milad Alizadeh
Adam Goliñski
Yee Whye Teh
Arnaud Doucet
404
117
0
30 Jan 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Giacomo Meanti
Luigi Carratino
Ernesto De Vito
Lorenzo Rosasco
181
14
0
17 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Yuying Ge
Yibing Song
Ruimao Zhang
Ping Luo
VGen
DiffM
143
0
0
13 Jan 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Davide Buffelli
Fabio Vandin
AI4CE
148
8
0
10 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Boxin Zhao
Lingxiao Wang
Mladen Kolar
Ziqi Liu
Qing Cui
Jun Zhou
Chaochao Chen
FedML
664
12
0
28 Dec 2021
Lyapunov Exponents for Diversity in Differentiable Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Jonathan Lorraine
Paul Vicol
Jack Parker-Holder
Tal Kachman
Luke Metz
Jakob N. Foerster
152
9
0
24 Dec 2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
International Conference on Machine Learning (ICML), 2021
Yihua Zhang
Guanhua Zhang
Prashant Khanduri
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
710
101
0
23 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu
Sen He
Yi-Zhe Song
Tao Xiang
123
72
0
13 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Tianyi Zhang
Shirui Zhang
Ziwei Chen
Dianbo Liu
FedML
159
6
0
10 Dec 2021
Few-Shot Image Classification Along Sparse Graphs
Joseph F. Comer
P. Jacobson
Heiko Hoffmann
163
1
0
07 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples
IEEE Transactions on Image Processing (TIP), 2021
Yuying Ge
Ruimao Zhang
Ping Luo
160
9
0
06 Dec 2021
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
Hanbyel Cho
Yooshin Cho
Jaemyung Yu
Junmo Kim
3DH
149
18
0
30 Nov 2021
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
International Conference on Learning Representations (ICLR), 2021
Michael Arbel
Julien Mairal
354
69
0
29 Nov 2021
Joint inference and input optimization in equilibrium networks
Neural Information Processing Systems (NeurIPS), 2021
Swaminathan Gurumurthy
Shaojie Bai
Zachary Manchester
J. Zico Kolter
200
20
0
25 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang
David W. Zhang
Damien Scieur
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
227
22
0
23 Nov 2021
Meta Adversarial Perturbations
Chia-Hung Yuan
Pin-Yu Chen
Chia-Mu Yu
AAML
204
2
0
19 Nov 2021
Gradients are Not All You Need
Luke Metz
C. Freeman
S. Schoenholz
Tal Kachman
239
102
0
10 Nov 2021
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