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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
Variable-Shot Adaptation for Online Meta-Learning
Tianhe Yu
Xinyang Geng
Chelsea Finn
Sergey Levine
CLL
OffRL
138
4
0
14 Dec 2020
Model-Agnostic Learning to Meta-Learn
A. Devos
Yatin Dandi
OOD
257
3
0
04 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Computer Vision and Pattern Recognition (CVPR), 2020
Matthew Tancik
B. Mildenhall
Terrance Wang
Divi Schmidt
Pratul P. Srinivasan
Jonathan T. Barron
Ren Ng
330
316
0
03 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning
Yang Zhao
Chunyuan Li
Ping Yu
Changyou Chen
258
7
0
02 Dec 2020
Evaluating Explanations: How much do explanations from the teacher aid students?
Transactions of the Association for Computational Linguistics (TACL), 2020
Danish Pruthi
Rachit Bansal
Bhuwan Dhingra
Livio Baldini Soares
Michael Collins
Zachary Chase Lipton
Graham Neubig
William W. Cohen
FAtt
XAI
319
120
0
01 Dec 2020
Is Support Set Diversity Necessary for Meta-Learning?
Amrith Rajagopal Setlur
Oscar Li
Virginia Smith
245
17
0
28 Nov 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Krishnateja Killamsetty
Changbin Li
Chengli Zhao
Rishabh K. Iyer
Feng Chen
238
11
0
13 Nov 2020
Convergence Properties of Stochastic Hypergradients
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Riccardo Grazzi
Massimiliano Pontil
Saverio Salzo
453
28
0
13 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain
Hong Liu
Jeff Z. HaoChen
Colin Wei
Tengyu Ma
AAML
218
5
0
03 Nov 2020
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation
Neurocomputing (Neurocomputing), 2020
Keyu Chen
Di Zhuang
Jerome Chang
OOD
190
53
0
01 Nov 2020
Meta-Learning with Adaptive Hyperparameters
Neural Information Processing Systems (NeurIPS), 2020
Sungyong Baik
Myungsub Choi
Janghoon Choi
Heewon Kim
Kyoung Mu Lee
339
148
0
31 Oct 2020
How Does the Task Landscape Affect MAML Performance?
Liam Collins
Aryan Mokhtari
Sanjay Shakkottai
356
4
0
27 Oct 2020
Modeling and Optimization Trade-off in Meta-learning
Neural Information Processing Systems (NeurIPS), 2020
Katelyn Gao
Ozan Sener
235
28
0
24 Oct 2020
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Ruoyao Xiao
R. Socher
Caiming Xiong
148
28
0
22 Oct 2020
Meta-Learning Guarantees for Online Receding Horizon Learning Control
Deepan Muthirayan
Pramod P. Khargonekar
594
3
0
21 Oct 2020
Learning to Learn Variational Semantic Memory
Neural Information Processing Systems (NeurIPS), 2020
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSL
BDL
VLM
DRL
263
36
0
20 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks
British Machine Vision Conference (BMVC), 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
116
9
0
19 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji
Junjie Yang
Yingbin Liang
515
312
0
15 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models
Fan Bao
Chongxuan Li
Kun Xu
Hang Su
Jun Zhu
Bo Zhang
183
15
0
15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
251
50
0
13 Oct 2020
Model Selection for Cross-Lingual Transfer
Yang Chen
Alan Ritter
226
13
0
13 Oct 2020
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai
Minshuo Chen
Pan Zhou
T. Zhao
Jason D. Lee
Sham Kakade
Haiquan Wang
Caiming Xiong
275
61
0
12 Oct 2020
Learning Binary Decision Trees by Argmin Differentiation
International Conference on Machine Learning (ICML), 2020
Valentina Zantedeschi
Matt J. Kusner
Vlad Niculae
234
14
0
09 Oct 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Xilun Chen
Asish Ghoshal
Yashar Mehdad
Luke Zettlemoyer
S. Gupta
202
96
0
07 Oct 2020
A Survey of Deep Meta-Learning
Mike Huisman
Jan N. van Rijn
Aske Plaat
417
380
0
07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Aoxiang Fan
Hieu M. Le
Mingzhen Huang
ShahRukh Athar
Dimitris Samaras
DRL
254
72
0
07 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning
IEEE International Conference on Robotics and Automation (ICRA), 2020
A. S. Tripathi
Martin Danelljan
Luc Van Gool
Radu Timofte
182
6
0
01 Oct 2020
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning
Yaohua Liu
Risheng Liu
106
11
0
28 Sep 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning
Chenxu Zhao
Feng Chen
Zhuoyi Wang
Latifur Khan
FaML
152
0
0
26 Sep 2020
Few-Shot Unsupervised Continual Learning through Meta-Examples
Alessia Bertugli
Stefano Vincenzi
Simone Calderara
Baptiste Caramiaux
CLL
SSL
230
8
0
17 Sep 2020
A Markov Decision Process Approach to Active Meta Learning
Bingjia Wang
Alec Koppel
Vikram Krishnamurthy
77
1
0
10 Sep 2020
A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees
Deepan Muthirayan
Pramod P. Khargonekar
348
0
0
30 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
360
116
0
13 Aug 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
ACM Conference on Recommender Systems (RecSys), 2020
Jiaxi Tang
Hongyi Wen
Ke Wang
AAML
250
91
0
11 Aug 2020
Two-Timescale Stochastic Gradient Descent in Continuous Time with Applications to Joint Online Parameter Estimation and Optimal Sensor Placement
Bernoulli (Bernoulli), 2020
Louis Sharrock
N. Kantas
269
8
0
31 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification
IEEE Signal Processing Letters (IEEE SPL), 2020
Yunxiao Qin
Weiguo Zhang
Zezheng Wang
Chenxu Zhao
Jingping Shi
159
8
0
16 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons
Neural Information Processing Systems (NeurIPS), 2020
P. Micaelli
Amos Storkey
281
18
0
15 Jul 2020
Submodular Meta-Learning
Neural Information Processing Systems (NeurIPS), 2020
Arman Adibi
Aryan Mokhtari
Hamed Hassani
CLL
190
5
0
11 Jul 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
SIAM Journal on Optimization (SIOPT), 2020
Mingyi Hong
Hoi-To Wai
Zhaoran Wang
Zhuoran Yang
454
172
0
10 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer
Neural Information Processing Systems (NeurIPS), 2020
Daniel D. Johnson
Hugo Larochelle
Daniel Tarlow
GNN
AI4CE
169
17
0
09 Jul 2020
Covariate Distribution Aware Meta-learning
Amrith Rajagopal Setlur
Saket Dingliwal
Barnabás Póczós
OOD
BDL
144
0
0
06 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
225
57
0
02 Jul 2020
Uniform Priors for Data-Efficient Transfer
Samarth Sinha
Karsten Roth
Anirudh Goyal
Marzyeh Ghassemi
Hugo Larochelle
Animesh Garg
OOD
229
0
0
30 Jun 2020
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi
Luca Franceschi
Massimiliano Pontil
Saverio Salzo
281
226
0
29 Jun 2020
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets
Haoxiang Wang
Tian Ding
Bo Li
MLT
AI4CE
235
14
0
25 Jun 2020
Understanding Deep Architectures with Reasoning Layer
Neural Information Processing Systems (NeurIPS), 2020
Xinshi Chen
Yufei Zhang
C. Reisinger
Le Song
AI4CE
249
8
0
24 Jun 2020
On the Global Optimality of Model-Agnostic Meta-Learning
International Conference on Machine Learning (ICML), 2020
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
194
47
0
23 Jun 2020
Auxiliary Learning by Implicit Differentiation
International Conference on Learning Representations (ICLR), 2020
Aviv Navon
Idan Achituve
Haggai Maron
Gal Chechik
Ethan Fetaya
254
69
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
257
4
0
22 Jun 2020
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
BDL
211
16
0
21 Jun 2020
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