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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
Metalearning generalizable dynamics from trajectories
Metalearning generalizable dynamics from trajectories
Qiaofeng Li
Tianyi Wang
V. Roychowdhury
M. Jawed
AI4CE
121
10
0
03 Jan 2023
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness
  Results and Improved Analysis
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
Le‐Yu Chen
Jing Xu
J.N. Zhang
106
14
0
02 Jan 2023
On Implicit Bias in Overparameterized Bilevel Optimization
On Implicit Bias in Overparameterized Bilevel Optimization
Paul Vicol
Jon Lorraine
Fabian Pedregosa
David Duvenaud
Roger C. Grosse
AI4CE
107
38
0
28 Dec 2022
Saliency-Augmented Memory Completion for Continual Learning
Saliency-Augmented Memory Completion for Continual Learning
Guangji Bai
Chen Ling
Yuyang Gao
Liang Zhao
CLL
120
4
0
26 Dec 2022
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Abhishek Aich
Kuan-Chuan Peng
Amit K. Roy-Chowdhury
90
25
0
14 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models
Learning Domain Invariant Prompt for Vision-Language Models
Cairong Zhao
Yubin Wang
Xinyang Jiang
Yifei Shen
Kaitao Song
Dongsheng Li
Duoqian Miao
VLMVPVLM
90
27
0
08 Dec 2022
DIAMOND: Taming Sample and Communication Complexities in Decentralized
  Bilevel Optimization
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization
Pei-Yuan Qiu
Yining Li
Zhuqing Liu
Prashant Khanduri
Jia Liu
Ness B. Shroff
Elizabeth S. Bentley
K. Turck
96
4
0
05 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and
  Multi-Task Learning
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning
S. Savazzi
V. Rampa
Sanaz Kianoush
M. Bennis
73
1
0
02 Dec 2022
Adaptive Prototypical Networks
Adaptive Prototypical Networks
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
72
2
0
22 Nov 2022
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning
  Iterative Algorithms
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
Danimir T. Doncevic
Alexander Mitsos
Yu Guo
Qianxiao Li
Felix Dietrich
Manuel Dahmen
Ioannis G. Kevrekidis
66
7
0
22 Nov 2022
Implicit Training of Energy Model for Structure Prediction
Implicit Training of Energy Model for Structure Prediction
Shiv Shankar
Vihari Piratla
73
0
0
21 Nov 2022
TorchOpt: An Efficient Library for Differentiable Optimization
TorchOpt: An Efficient Library for Differentiable Optimization
Jie Ren
Xidong Feng
Bo Liu
Xuehai Pan
Yao Fu
Kai Zou
Yaodong Yang
68
12
0
13 Nov 2022
Hardness-guided domain adaptation to recognise biomedical named entities
  under low-resource scenarios
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios
Ngoc Dang Nguyen
Lan Du
Wray Buntine
Changyou Chen
Richard Beare
74
8
0
11 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
110
4
0
08 Nov 2022
Learning to Augment via Implicit Differentiation for Domain
  Generalization
Learning to Augment via Implicit Differentiation for Domain Generalization
Ting-Hsiang Wang
Da Li
Kaiyang Zhou
Tao Xiang
Yi-Zhe Song
46
0
0
25 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
125
38
0
24 Oct 2022
Decentralized Stochastic Bilevel Optimization with Improved
  per-Iteration Complexity
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity
Xuxing Chen
Minhui Huang
Shiqian Ma
Krishnakumar Balasubramanian
94
29
0
23 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Zhengchao Wan
OOD
77
4
0
20 Oct 2022
Improving Object-centric Learning with Query Optimization
Improving Object-centric Learning with Query Optimization
Baoxiong Jia
Yu Liu
Siyuan Huang
OCL
97
52
0
17 Oct 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
61
0
0
14 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning
Stock Trading Volume Prediction with Dual-Process Meta-Learning
Ruibo Chen
Wei Li
Zhiyuan Zhang
Ruihan Bao
Keiko Harimoto
Xu Sun
AIFinAI4TS
36
3
0
11 Oct 2022
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
165
68
0
08 Oct 2022
Robotic Control Using Model Based Meta Adaption
Robotic Control Using Model Based Meta Adaption
Karam Daaboul
Joel Ikels
Marius Zöllner
75
2
0
07 Oct 2022
Hypernetwork approach to Bayesian MAML
Hypernetwork approach to Bayesian MAML
Piotr Borycki
Piotr Kubacki
Marcin Przewiȩźlikowski
Tomasz Kuśmierczyk
Jacek Tabor
Przemysław Spurek
BDL
60
2
0
06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
BaseTransformers: Attention over base data-points for One Shot Learning
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
82
3
0
05 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
130
6
0
03 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem
Meng Ding
Ming Lei
Yunwen Lei
Di Wang
Jinhui Xu
99
1
0
03 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
76
2
0
03 Oct 2022
Meta Knowledge Condensation for Federated Learning
Meta Knowledge Condensation for Federated Learning
Ping Liu
Xin Yu
Qiufeng Wang
DDFedML
76
30
0
29 Sep 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
The Curse of Unrolling: Rate of Differentiating Through Optimization
Damien Scieur
Quentin Bertrand
Gauthier Gidel
Fabian Pedregosa
102
13
0
27 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
FedML
83
13
0
19 Sep 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye
B. Liu
S. Wright
Peter Stone
Qian Liu
118
90
0
19 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers
  for Few-Shot Classification
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang
Tianlin Li
Bo Jiang
Bin Luo
116
46
0
26 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
112
17
0
22 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani
Oliver Hahn
Eduard Zamfir
Nikita Araslanov
Zorah Lähner
Stefan Roth
OODTTAVLM
114
7
0
10 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen
Xiaolong Wang
AI4CE
106
68
0
04 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and
  Challenge
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
Xiaofeng Cao
Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
99
1
0
29 Jul 2022
INTERACT: Achieving Low Sample and Communication Complexities in
  Decentralized Bilevel Learning over Networks
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
Zhuqing Liu
Xin Zhang
Prashant Khanduri
Songtao Lu
Jia Liu
100
12
0
27 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen Ma
Zixuan Liu
Xue Liu
196
39
0
24 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Li Xu
Haoxuan Qu
Jason Kuen
Jiuxiang Gu
Jun Liu
CML
93
27
0
23 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yan Huang
Qihang Lin
N. Street
Stephen Seung-Yeob Baek
FedML
75
9
0
21 Jul 2022
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A
  Meta-Learning Approach
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach
Jiseok Youn
Jaehun Song
Hyung-Sin Kim
S. Bahk
MQ
61
8
0
20 Jul 2022
Riemannian Stochastic Gradient Method for Nested Composition
  Optimization
Riemannian Stochastic Gradient Method for Nested Composition Optimization
Dewei Zhang
S. Tajbakhsh
92
1
0
19 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing
Fine-grained Few-shot Recognition by Deep Object Parsing
Ruizhao Zhu
Pengkai Zhu
Samarth Mishra
Venkatesh Saligrama
97
0
0
14 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong
Tianran Ouyang
Shengcai Liao
Bo Du
Ling Shao
103
6
0
14 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic
  Meta-Learning
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning
Guodong Liu
Tongling Wang
Shuoxi Zhang
Kun He
106
1
0
09 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Keun Choe
Willie Neiswanger
P. Xie
Eric P. Xing
AI4CE
83
32
0
05 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval
Adaptive Fine-Grained Sketch-Based Image Retrieval
A. Bhunia
Aneeshan Sain
Parth Shah
Animesh Gupta
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
131
21
0
04 Jul 2022
The least-control principle for local learning at equilibrium
The least-control principle for local learning at equilibrium
Alexander Meulemans
Nicolas Zucchet
Seijin Kobayashi
J. Oswald
João Sacramento
112
23
0
04 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas Griffiths
Sergey Levine
OCL
142
61
0
02 Jul 2022
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