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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
On Training Implicit Models
Neural Information Processing Systems (NeurIPS), 2021
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
398
92
0
09 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Rujikorn Charakorn
P. Manoonpong
Nat Dilokthanakul
185
6
0
05 Nov 2021
Meta-Learning to Improve Pre-Training
Neural Information Processing Systems (NeurIPS), 2021
Aniruddh Raghu
Jonathan Lorraine
Simon Kornblith
Matthew B. A. McDermott
David Duvenaud
239
35
0
02 Nov 2021
Learning where to learn: Gradient sparsity in meta and continual learning
J. Oswald
Dominic Zhao
Seijin Kobayashi
Simon Schug
Massimo Caccia
Nicolas Zucchet
João Sacramento
CLL
208
56
0
27 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression
Marcin Sendera
Jacek Tabor
A. Nowak
Andrzej Bedychaj
Massimiliano Patacchiola
Tomasz Trzciñski
Przemysław Spurek
Maciej Ziȩba
230
20
0
26 Oct 2021
Projection-Free Algorithm for Stochastic Bi-level Optimization
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Zeeshan Akhtar
Amrit Singh Bedi
Srujan Teja Thomdapu
K. Rajawat
336
17
0
22 Oct 2021
GCCN: Global Context Convolutional Network
Ali Hamdi
Flora D. Salim
D. Kim
161
2
0
22 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Rafael Bischof
M. Kraus
PINN
AI4CE
392
172
0
19 Oct 2021
Meta-Learning with Adjoint Methods
Shibo Li
Zheng Wang
A. Narayan
Robert M. Kirby
Shandian Zhe
209
5
0
16 Oct 2021
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
556
193
0
15 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow
Kaiyi Ji
Yingbin Liang
347
37
0
13 Oct 2021
Value-Function-based Sequential Minimization for Bi-level Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
225
38
0
11 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Baoquan Zhang
Shanshan Feng
Xutao Li
Yunming Ye
Rui Ye
213
52
0
09 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
IEEE International Conference on Computer Vision (ICCV), 2021
Sungyong Baik
Janghoon Choi
Heewon Kim
Dohee Cho
Jaesik Min
Kyoung Mu Lee
198
133
0
08 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient
Yi Zeng
Si-An Chen
Won Park
Z. Morley Mao
Ming Jin
R. Jia
AAML
414
215
0
07 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
271
38
0
06 Oct 2021
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu
Jiayang Li
Zhuoran Yang
Hoi-To Wai
Mingyi Hong
Y. Nie
Zhaoran Wang
465
24
0
04 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Wanyu Bian
Yunmei Chen
X. Ye
Qingchao Zhang
233
31
0
02 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu
Yaohua Liu
Shangzhi Zeng
Jin Zhang
336
95
0
01 Oct 2021
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation
Sangwoo Park
Osvaldo Simeone
254
9
0
01 Oct 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
279
7
0
27 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
AAAI Conference on Artificial Intelligence (AAAI), 2021
Liyuan Zheng
Tanner Fiez
Zane Alumbaugh
Benjamin J. Chasnov
Lillian J. Ratliff
OffRL
199
47
0
25 Sep 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD
Chen Fan
Parikshit Ram
Sijia Liu
FedML
171
21
0
15 Sep 2021
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
Lucio Dery
Paul Michel
Ameet Talwalkar
Graham Neubig
CLL
259
38
0
15 Sep 2021
Is Attention Better Than Matrix Decomposition?
International Conference on Learning Representations (ICLR), 2021
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
294
166
0
09 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
Ruizhi Chen
Xiaoyu Wu
Yansong Pan
Kaizhao Yuan
Ling Li
...
Shaohui Peng
Xishan Zhang
Zidong Du
Qi Guo
Yunji Chen
OffRL
111
3
0
04 Sep 2021
Adaptation-Agnostic Meta-Training
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
190
0
0
24 Aug 2021
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation
International Conference on Information and Knowledge Management (CIKM), 2021
Xidong Feng
Chong Chen
Dong Li
Mengchen Zhao
Jianye Hao
Jun Wang
OffRL
244
30
0
24 Aug 2021
Self-Supervised Video Representation Learning with Meta-Contrastive Network
Yuanze Lin
Xun Guo
Yan Lu
SSL
262
44
0
19 Aug 2021
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Aritra Ghosh
Andrew Lan
208
43
0
17 Aug 2021
Prototype Completion for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
341
27
0
11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold
IEEE International Conference on Computer Vision (ICCV), 2021
Guodong Qi
Huimin Yu
Zhaohui Lu
Shuzhao Li
196
50
0
09 Aug 2021
Uniform Sampling over Episode Difficulty
Sébastien M. R. Arnold
Guneet Singh Dhillon
Avinash Ravichandran
Stefano Soatto
193
14
0
03 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
399
14
0
02 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
John Willes
James Harrison
Ali Harakeh
Chelsea Finn
Marco Pavone
Steven Waslander
BDL
OffRL
184
22
0
29 Jul 2021
A novel meta-learning initialization method for physics-informed neural networks
Xu Liu
Xiaoya Zhang
Wei Peng
Weien Zhou
Wen Yao
AI4CE
135
92
0
23 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Neural Information Processing Systems (NeurIPS), 2021
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
380
101
0
16 Jul 2021
Meta-learning PINN loss functions
Apostolos F. Psaros
Kenji Kawaguchi
George Karniadakis
PINN
193
132
0
12 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
303
12
0
06 Jul 2021
Memory Efficient Meta-Learning with Large Images
J. Bronskill
Daniela Massiceti
Massimiliano Patacchiola
Katja Hofmann
Sebastian Nowozin
Richard Turner
VLM
258
21
0
02 Jul 2021
Few-shot Learning for Unsupervised Feature Selection
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
SSL
176
6
0
02 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
272
11
0
02 Jul 2021
Few-Shot Learning with a Strong Teacher
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
304
71
0
01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification
International Conference on Learning Representations (ICLR), 2021
Han-Jia Ye
Wei-Lun Chao
269
58
0
30 Jun 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
International Conference on Machine Learning (ICML), 2021
Nikunj Saunshi
Arushi Gupta
Wei Hu
SSL
209
18
0
29 Jun 2021
MAML is a Noisy Contrastive Learner in Classification
International Conference on Learning Representations (ICLR), 2021
Chia-Hsiang Kao
Wei-Chen Chiu
Pin-Yu Chen
216
19
0
29 Jun 2021
Representation based meta-learning for few-shot spoken intent recognition
Interspeech (Interspeech), 2020
Ashish R. Mittal
Samarth Bharadwaj
Shreya Khare
Saneem A. Chemmengath
Karthik Sankaranarayanan
Brian Kingsbury
162
11
0
29 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
British Machine Vision Conference (BMVC), 2021
Andrés Villa
Juan-Manuel Perez-Rua
Victor Escorcia
Vladimir Araujo
Juan Carlos Niebles
Alvaro Soto
153
0
0
21 Jun 2021
Graceful Degradation and Related Fields
J. Dymond
227
5
0
21 Jun 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
International Conference on Machine Learning (ICML), 2021
Miao Zhang
Steven W. Su
Shirui Pan
Xiaojun Chang
Ehsan Abbasnejad
Reza Haffari
268
77
0
21 Jun 2021
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