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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
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and
  Convergence Analysis
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
Jie Hao
Xiaochuan Gong
Mingrui Liu
108
8
0
17 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models
EraseDiff: Erasing Data Influence in Diffusion Models
Jing Wu
Trung Le
Munawar Hayat
Mehrtash Harandi
DiffM
122
14
0
11 Jan 2024
Any-Way Meta Learning
Any-Way Meta Learning
Junhoo Lee
Yearim Kim
Hyunho Lee
Nojun Kwak
67
0
0
10 Jan 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale
  Recommender Systems
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems
Youshao Xiao
Shangchun Zhao
Zhenglei Zhou
Zhaoxin Huan
Lin Ju
Xiaolu Zhang
Lin Wang
Jun Zhou
OffRL
103
8
0
09 Jan 2024
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using
  Mirror Descent
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
Yilang Zhang
Bingcong Li
G. Giannakis
89
0
0
20 Dec 2023
DynaLay: An Introspective Approach to Dynamic Layer Selection for Deep
  Networks
DynaLay: An Introspective Approach to Dynamic Layer Selection for Deep Networks
Mrinal Mathur
Sergey Plis
AI4CE
57
1
0
20 Dec 2023
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee
  with Differentiable Convex Programming
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
Minjae Cho
Chuangchuang Sun
83
3
0
15 Dec 2023
Accelerating Meta-Learning by Sharing Gradients
Accelerating Meta-Learning by Sharing Gradients
Oscar Chang
Hod Lipson
86
0
0
13 Dec 2023
Fast and accurate sparse-view CBCT reconstruction using meta-learned
  neural attenuation field and hash-encoding regularization
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization
Heejun Shin
Taehee Kim
Jongho Lee
S. Chun
Seungryung Cho
Dongmyung Shin
98
0
0
04 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers
Matthieu Terris
Thomas Moreau
80
1
0
30 Nov 2023
OpenNet: Incremental Learning for Autonomous Driving Object Detection
  with Balanced Loss
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss
Zezhou Wang
Guitao Cao
Xidong Xi
Jiangtao Wang
143
0
0
25 Nov 2023
On the Communication Complexity of Decentralized Bilevel Optimization
On the Communication Complexity of Decentralized Bilevel Optimization
Yihan Zhang
My T. Thai
Jie Wu
Hongchang Gao
121
4
0
19 Nov 2023
A Single-Loop Algorithm for Decentralized Bilevel Optimization
A Single-Loop Algorithm for Decentralized Bilevel Optimization
Youran Dong
Shiqian Ma
Junfeng Yang
Chao Yin
91
8
0
15 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey
When Meta-Learning Meets Online and Continual Learning: A Survey
Jaehyeon Son
Soochan Lee
Gunhee Kim
OODCLL
98
12
0
09 Nov 2023
Meta-Learning Strategies through Value Maximization in Neural Networks
Meta-Learning Strategies through Value Maximization in Neural Networks
Rodrigo Carrasco-Davis
Javier Masís
Andrew M. Saxe
68
1
0
30 Oct 2023
Behavior Alignment via Reward Function Optimization
Behavior Alignment via Reward Function Optimization
Dhawal Gupta
Yash Chandak
Scott M. Jordan
Philip S. Thomas
Bruno Castro da Silva
108
11
0
29 Oct 2023
Contextual Stochastic Bilevel Optimization
Contextual Stochastic Bilevel Optimization
Yifan Hu
Jie Wang
Yao Xie
Andreas Krause
Daniel Kuhn
104
14
0
27 Oct 2023
Human-Guided Complexity-Controlled Abstractions
Human-Guided Complexity-Controlled Abstractions
Andi Peng
Mycal Tucker
Eoin M. Kenny
Noga Zaslavsky
Pulkit Agrawal
Julie A. Shah
65
1
0
26 Oct 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Zixin Ding
Si-An Chen
Ruoxi Jia
Yuxin Chen
70
1
0
25 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
93
12
0
10 Oct 2023
Deep Concept Removal
Deep Concept Removal
Yegor Klochkov
Jean-François Ton
Ruocheng Guo
Yang Liu
Hang Li
50
0
0
09 Oct 2023
Making Scalable Meta Learning Practical
Making Scalable Meta Learning Practical
Sang Keun Choe
Sanket Vaibhav Mehta
Hwijeen Ahn
Willie Neiswanger
Pengtao Xie
Emma Strubell
Eric Xing
115
16
0
09 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for
  Gradient-Based Meta-Learning
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
Junhoo Lee
Jayeon Yoo
Nojun Kwak
68
2
0
04 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Qi Wang
Yiqin Lv
Yanghe Feng
Zheng Xie
Jincai Huang
80
9
0
01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property
  Prediction
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Shiguang Wu
Yaqing Wang
Quanming Yao
56
4
0
01 Oct 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
Jeroen Galjaard
Robert Birke
Juan F. Pérez
Lydia Y. Chen
NoLa
79
0
0
12 Sep 2023
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order
  Stochastic Approximation
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Jeongyeol Kwon
Dohyun Kwon
Steve Wright
Robert D. Nowak
96
30
0
04 Sep 2023
Ensuring User-side Fairness in Dynamic Recommender Systems
Ensuring User-side Fairness in Dynamic Recommender Systems
Hyunsik Yoo
Zhichen Zeng
Jian Kang
Ruizhong Qiu
David Zhou
Zhining Liu
Fei Wang
Charlie Xu
Eunice Chan
Hanghang Tong
99
17
0
29 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online
  Dynamic-Embedding Prediction
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
Guangji Bai
Ziyang Yu
Zheng Chai
Yue Cheng
Liang Zhao
GNN
94
3
0
25 Aug 2023
Privileged Anatomical and Protocol Discrimination in Trackerless 3D
  Ultrasound Reconstruction
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Qi Li
Ziyi Shen
Qian Li
D. Barratt
T. Dowrick
Matthew J. Clarkson
Tom Vercauteren
Yipeng Hu
42
1
0
20 Aug 2023
Differentiable Robust Model Predictive Control
Differentiable Robust Model Predictive Control
Alex Oshin
Hassan Almubarak
Evangelos A. Theodorou
60
6
0
16 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRLLRM
80
2
0
16 Aug 2023
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation
  and Beyond
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
Chen Shuai
Meng Fanman
Runtong Zhang
Heqian Qiu
Hongliang Li
Wu Qingbo
Xu Linfeng
VLM
86
14
0
15 Aug 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with
  Convex Lower-level Problem
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
Jincheng Cao
Ruichen Jiang
Nazanin Abolfazli
Erfan Yazdandoost Hamedani
Aryan Mokhtari
140
9
0
15 Aug 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of
  Physics-Informed Neural Networks: Application to Composites Autoclave
  Processing
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing
Milad Ramezankhani
A. Milani
PINN
58
6
0
12 Aug 2023
Meta-learning in healthcare: A survey
Meta-learning in healthcare: A survey
Alireza Rafiei
Ronald Moore
S. Jahromi
F. Hajati
Rishikesan Kamaleswaran
98
9
0
05 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
115
31
0
01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAMLOOD
100
2
0
01 Aug 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
137
46
0
31 Jul 2023
Learning with Constraint Learning: New Perspective, Solution Strategy
  and Various Applications
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
73
9
0
28 Jul 2023
Towards Task Sampler Learning for Meta-Learning
Towards Task Sampler Learning for Meta-Learning
Wenwen Qiang
Jingyao Wang
Xingzhe Su
Changwen Zheng
Gang Hua
Hui Xiong
108
11
0
18 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
96
79
0
10 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning
Elastically-Constrained Meta-Learner for Federated Learning
Peng Lan
Donglai Chen
Chong Xie
Keshu Chen
Jinyuan He
Juntao Zhang
Yonghong Chen
Yan Xu
FedML
65
0
0
29 Jun 2023
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles
Le‐Yu Chen
Yaohua Ma
J.N. Zhang
133
2
0
26 Jun 2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed
  Smoothness Conditions
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions
Xuxing Chen
Tesi Xiao
Krishnakumar Balasubramanian
102
26
0
21 Jun 2023
Differentiable Instruction Optimization for Cross-Task Generalization
Differentiable Instruction Optimization for Cross-Task Generalization
Masaru Isonuma
Junichiro Mori
Ichiro Sakata
77
0
0
16 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete
  Representations
Unbiased Learning of Deep Generative Models with Structured Discrete Representations
H. Bendekgey
Gabriel Hope
Erik B. Sudderth
OCLBDLDRL
58
1
0
14 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Junyuan Hong
Yi Zeng
Shuyang Yu
Lingjuan Lyu
R. Jia
Jiayu Zhou
AAML
57
9
0
04 Jun 2023
Effective Structured Prompting by Meta-Learning and Representative
  Verbalizer
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
Weisen Jiang
Yu Zhang
James T. Kwok
VLMOffRL
94
18
0
01 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated
  Bilevel Learning
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang
Peiyao Xiao
Kaiyi Ji
FedML
90
17
0
30 May 2023
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