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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
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Luc Raszewski
Christine De Kock
120
0
0
12 Jun 2025
You Only Train Once
Christos Sakaridis
36
0
0
04 Jun 2025
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective
Junnan Liu
Hongwei Liu
Linchen Xiao
Shudong Liu
Taolin Zhang
Zihan Ma
Songyang Zhang
Kai Chen
LRM
123
0
0
26 May 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao
Xin Wang
Yibo Yang
David A. Clifton
61
0
0
25 May 2025
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu
Mu Nan
Hossein Adeli
Jacob S. Prince
John A. Pyles
Leila Wehbe
Margaret M. Henderson
Michael J. Tarr
Andrew F. Luo
MedImViT
90
0
0
21 May 2025
Bi-Level Policy Optimization with Nyström Hypergradients
Bi-Level Policy Optimization with Nyström Hypergradients
Arjun Prakash
Naicheng He
Denizalp Goktas
Amy Greenwald
73
0
0
16 May 2025
Hand-Shadow Poser
Hand-Shadow Poser
Hao Xu
Yinqiao Wang
Niloy J. Mitra
Shuaicheng Liu
Pheng-Ann Heng
Chi-Wing Fu
3DH
95
0
0
11 May 2025
Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery
Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery
Abhijit Gupta
185
0
0
11 May 2025
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Youran Dong
Junfeng Yang
Wei-Ting Yao
Jin Zhang
458
0
0
04 May 2025
Scalable Meta-Learning via Mixed-Mode Differentiation
Scalable Meta-Learning via Mixed-Mode Differentiation
Iurii Kemaev
Dan A. Calian
Luisa M. Zintgraf
Gregory Farquhar
H. V. Hasselt
112
1
0
01 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
Wenjie Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
176
0
0
27 Apr 2025
Improving Learning to Optimize Using Parameter Symmetries
Improving Learning to Optimize Using Parameter Symmetries
Guy Zamir
Aryan Dokania
B. Zhao
Rose Yu
80
2
0
21 Apr 2025
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
Long Qian
Bingke Zhu
Yingying Chen
Ming Tang
Jinqiao Wang
81
0
0
17 Apr 2025
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition
Hongyu Qu
Ling Xing
Rui Yan
Yazhou Yao
G. Xie
Xiangbo Shu
75
0
0
14 Apr 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
Mert Bulent Sariyildiz
Philippe Weinzaepfel
Thomas Lucas
Pau de Jorge
Diane Larlus
Yannis Kalantidis
110
0
0
18 Mar 2025
Riemannian Geometric-based Meta Learning
JuneYoung Park
YuMi Lee
Tae Joon Kim
Jang-Hwan Choi
87
0
0
14 Mar 2025
Meta-learning characteristics and dynamics of quantum systems
Lucas Schorling
Pranav Vaidhyanathan
Jonas Schuff
M. J. Carballido
D. Zumbuhl
Gerard Milburn
Florian Marquardt
Jakob Foerster
Michael A. Osborne
N. Ares
AI4CE
82
2
0
13 Mar 2025
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
Rui Qiao
Zhaoxuan Wu
Jingtan Wang
Pang Wei Koh
Bryan Kian Hsiang Low
OOD
105
2
0
10 Mar 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
135
0
0
05 Mar 2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
Pranav Vaidhyanathan
Aristotelis Papatheodorou
Mark T. Mitchison
Natalia Ares
Ioannis Havoutis
PINNAI4CE
152
1
0
23 Feb 2025
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training
Reza Shirkavand
Qi He
Peiran Yu
Heng-Chiao Huang
ALM
104
0
0
05 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization
qNBO: quasi-Newton Meets Bilevel Optimization
Sheng Fang
Yong Liu
Wei-Ting Yao
Chengming Yu
Jin Zhang
160
0
0
03 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
162
10
0
28 Jan 2025
One-Class Domain Adaptation via Meta-Learning
One-Class Domain Adaptation via Meta-Learning
Stephanie Holly
T. Bierweiler
Stefan von Dosky
Ahmed Frikha
C. Heitzinger
Jana Eder
177
0
0
22 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Jialong Guo
Ke Liu
Jiangchao Yao
Zhihua Wang
Jiajun Bu
Haishuai Wang
AI4TS
125
1
0
20 Jan 2025
On Penalty-based Bilevel Gradient Descent Method
On Penalty-based Bilevel Gradient Descent Method
Han Shen
Quan-Wu Xiao
Tianyi Chen
138
59
0
08 Jan 2025
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
139
5
0
31 Dec 2024
Functional Risk Minimization
Functional Risk Minimization
Ferran Alet
Clement Gehring
Tomás Lozano-Pérez
Kenji Kawaguchi
Joshua B. Tenenbaum
Leslie Pack Kaelbling
OffRL
130
0
0
31 Dec 2024
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
Arnav M. Das
Gantavya Bhatt
Lilly Kumari
Sahil Verma
J. Bilmes
94
0
0
23 Dec 2024
Memory-Reduced Meta-Learning with Guaranteed Convergence
Memory-Reduced Meta-Learning with Guaranteed Convergence
Honglin Yang
Ji Ma
Xiao Yu
131
0
0
16 Dec 2024
Exploring the Generalization Capabilities of AID-based Bi-level
  Optimization
Exploring the Generalization Capabilities of AID-based Bi-level Optimization
C. L. Philip Chen
Li Shen
Zhiqiang Xu
Wen Liu
Zhi-Quan Luo
Peilin Zhao
125
1
0
25 Nov 2024
Neuromodulated Meta-Learning
Neuromodulated Meta-Learning
Wenwen Qiang
Huijie Guo
Jingyao Wang
Jiangmeng Li
Changwen Zheng
Hui Xiong
Gang Hua
111
0
0
11 Nov 2024
Learning Where to Edit Vision Transformers
Learning Where to Edit Vision Transformers
Yunqiao Yang
Long-Kai Huang
Shengzhuang Chen
Kede Ma
Ying Wei
KELM
91
1
0
04 Nov 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk
  Minimization in Meta Learning
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
Yiqin Lv
Qi Wang
Dong Liang
Zheng Xie
121
3
0
30 Oct 2024
Fully First-Order Methods for Decentralized Bilevel Optimization
Fully First-Order Methods for Decentralized Bilevel Optimization
Xiaoyu Wang
Xuxing Chen
Shiqian Ma
Tong Zhang
108
0
0
25 Oct 2024
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
Shicheng Liu
Minghui Zhu
115
1
0
21 Oct 2024
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned
  Concepts
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
Hongcheng Gao
Tianyu Pang
Chao Du
Taihang Hu
Zhijie Deng
Min Lin
DiffM
93
11
0
16 Oct 2024
Optimizing 3D Geometry Reconstruction from Implicit Neural
  Representations
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
Shen Fan
Przemyslaw Musialski
AI4CE
87
0
0
16 Oct 2024
Towards Differentiable Multilevel Optimization: A Gradient-Based
  Approach
Towards Differentiable Multilevel Optimization: A Gradient-Based Approach
Yuntian Gu
Xuzheng Chen
76
0
0
15 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter
  Optimization and Meta Learning
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim
Timothy M. Hospedales
BDL
125
0
0
14 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank
  Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
62
2
0
13 Oct 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable
  Near-Optimality under All-task Optimum Comparator
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
Siyuan Xu
Minghui Zhu
OffRL
72
1
0
13 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic
  Knowledge Tuning
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Nusrat Jahan Prottasha
Asif Mahmud
Md. Shohanur Islam Sobuj
Prakash Bhat
Md. Kowsher
Niloofar Yousefi
O. Garibay
113
7
0
11 Oct 2024
Differentiation Through Black-Box Quadratic Programming Solvers
Differentiation Through Black-Box Quadratic Programming Solvers
Connor W. Magoon
Fengyu Yang
Noam Aigerman
Shahar Z. Kovalsky
76
1
0
08 Oct 2024
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
Adam Kania
Marko Mihajlovic
Sergey Prokudin
Jacek Tabor
Przemysław Spurek
71
2
0
07 Oct 2024
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
Gustav Wagner Zakarias
Lars Kai Hansen
Zheng-Hua Tan
81
0
0
03 Oct 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image
  Classification
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
Kexue Fu
Xiaoyuan Luo
Linhao Qu
Shuo Wang
Ying Xiong
Ilias Maglogiannis
Longxiang Gao
Manning Wang
62
2
0
29 Sep 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
171
3
0
28 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted
  Classes
Learning to Obstruct Few-Shot Image Classification over Restricted Classes
Amber Yijia Zheng
Chiao-An Yang
Raymond A. Yeh
101
2
0
28 Sep 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne
David Rosenberg
Gary Kazantsev
Pawel Polak
80
0
0
16 Sep 2024
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