Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1909.04630
Cited By
Meta-Learning with Implicit Gradients
10 September 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Meta-Learning with Implicit Gradients"
50 / 521 papers shown
Title
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
Jing Wu
Trung Le
Munawar Hayat
Mehrtash Harandi
DiffM
122
14
0
11 Jan 2024
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
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
Yilang Zhang
Bingcong Li
G. Giannakis
89
0
0
20 Dec 2023
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
Minjae Cho
Chuangchuang Sun
83
3
0
15 Dec 2023
Accelerating Meta-Learning by Sharing Gradients
Oscar Chang
Hod Lipson
88
0
0
13 Dec 2023
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
Matthieu Terris
Thomas Moreau
80
1
0
30 Nov 2023
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
Yihan Zhang
My T. Thai
Jie Wu
Hongchang Gao
121
4
0
19 Nov 2023
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
Jaehyeon Son
Soochan Lee
Gunhee Kim
OOD
CLL
98
12
0
09 Nov 2023
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
Dhawal Gupta
Yash Chandak
Scott M. Jordan
Philip S. Thomas
Bruno Castro da Silva
108
11
0
29 Oct 2023
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
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
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
Suruchi Kumari
Pravendra Singh
93
12
0
10 Oct 2023
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
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
Junhoo Lee
Jayeon Yoo
Nojun Kwak
68
2
0
04 Oct 2023
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
Shiguang Wu
Yaqing Wang
Quanming Yao
66
4
0
01 Oct 2023
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
Jeongyeol Kwon
Dohyun Kwon
Steve Wright
Robert D. Nowak
96
30
0
04 Sep 2023
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
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
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
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?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRL
LRM
80
2
0
16 Aug 2023
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
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
Milad Ramezankhani
A. Milani
PINN
58
6
0
12 Aug 2023
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
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
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAML
OOD
100
2
0
01 Aug 2023
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
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
73
9
0
28 Jul 2023
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
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
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
Le‐Yu Chen
Yaohua Ma
J.N. Zhang
133
2
0
26 Jun 2023
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
Masaru Isonuma
Junichiro Mori
Ichiro Sakata
77
0
0
16 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations
H. Bendekgey
Gabriel Hope
Erik B. Sudderth
OCL
BDL
DRL
58
1
0
14 Jun 2023
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
Weisen Jiang
Yu Zhang
James T. Kwok
VLM
OffRL
94
18
0
01 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang
Peiyao Xiao
Kaiyi Ji
FedML
90
17
0
30 May 2023
Previous
1
2
3
4
5
6
...
9
10
11
Next