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Meta-Learning with Implicit Gradients

Meta-Learning with Implicit Gradients

Neural Information Processing Systems (NeurIPS), 2019
10 September 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "Meta-Learning with Implicit Gradients"

50 / 551 papers shown
Meta-learning for Positive-unlabeled Classification
Meta-learning for Positive-unlabeled Classification
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
214
1
0
06 Jun 2024
Lazy Safety Alignment for Large Language Models against Harmful
  Fine-tuning
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning
Tiansheng Huang
Sihao Hu
Fatih Ilhan
Selim Furkan Tekin
Ling Liu
578
37
0
28 May 2024
Derivatives of Stochastic Gradient Descent
Derivatives of Stochastic Gradient Descent
F. Iutzeler
Edouard Pauwels
Samuel Vaiter
190
1
0
24 May 2024
Riemannian Bilevel Optimization
Riemannian Bilevel Optimization
Sanchayan Dutta
Xiang Cheng
S. Sra
268
0
0
22 May 2024
Perturbing the Gradient for Alleviating Meta Overfitting
Perturbing the Gradient for Alleviating Meta Overfitting
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
229
1
0
20 May 2024
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and
  Hessian-free Solution Strategy
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution StrategyInternational Conference on Machine Learning (ICML), 2024
Risheng Liu
Zhu Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
246
18
0
16 May 2024
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy TransferInternational Conference on Learning Representations (ICLR), 2024
Xingyu Liu
Deepak Pathak
Ding Zhao
203
6
0
06 May 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action RecognitionIEEE transactions on multimedia (IEEE TMM), 2024
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
447
16
0
03 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax
  Optimization
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization
Chris Junchi Li
439
0
0
01 May 2024
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast
  Adaptation of Neural Predictive Models
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models
Jiaqi Yan
Ankush Chakrabarty
Alisa Rupenyan
John Lygeros
180
3
0
18 Apr 2024
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view
  Human Performance Capture and Rendering
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun
Rishabh Dabral
Pascal Fua
Christian Theobalt
Marc Habermann
3DH
300
9
0
27 Mar 2024
Generalizable and Stable Finetuning of Pretrained Language Models on
  Low-Resource Texts
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
Sai Ashish Somayajula
Youwei Liang
Abhishek Singh
Li Zhang
Pengtao Xie
235
4
0
19 Mar 2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient
  Low-Rank Adaptation of Large Pre-trained Models
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
Rushi Qiang
Ruiyi Zhang
Pengtao Xie
AI4CE
159
12
0
19 Mar 2024
Nonsmooth Implicit Differentiation: Deterministic and Stochastic
  Convergence Rates
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence RatesInternational Conference on Machine Learning (ICML), 2024
Riccardo Grazzi
Massimiliano Pontil
Saverio Salzo
340
3
0
18 Mar 2024
XB-MAML: Learning Expandable Basis Parameters for Effective
  Meta-Learning with Wide Task Coverage
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task CoverageInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Jae-Jun Lee
Sung Whan Yoon
192
4
0
11 Mar 2024
Fast and Efficient Local Search for Genetic Programming Based Loss
  Function Learning
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
327
3
0
01 Mar 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel
  Manifolds
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds
H. Tabealhojeh
S. Roy
Peyman Adibi
Hossein Karshenas
221
0
0
28 Feb 2024
Enhancing Hypergradients Estimation: A Study of Preconditioning and
  Reparameterization
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
Zhenzhang Ye
Gabriel Peyré
Daniel Cremers
Pierre Ablin
222
2
0
26 Feb 2024
LiMAML: Personalization of Deep Recommender Models via Meta Learning
LiMAML: Personalization of Deep Recommender Models via Meta Learning
Ruofan Wang
Prakruthi Prabhakar
Gaurav Srivastava
Tianqi Wang
Zeinab S. Jalali
...
Divya Venugopalan
Aman Gupta
Fedor Borisyuk
S. Keerthi
A. Muralidharan
227
1
0
23 Feb 2024
An Accelerated Gradient Method for Convex Smooth Simple Bilevel
  Optimization
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
Jincheng Cao
Ruichen Jiang
Erfan Yazdandoost Hamedani
Aryan Mokhtari
120
10
0
12 Feb 2024
On the Complexity of First-Order Methods in Stochastic Bilevel
  Optimization
On the Complexity of First-Order Methods in Stochastic Bilevel OptimizationInternational Conference on Machine Learning (ICML), 2024
Jeongyeol Kwon
Dohyun Kwon
Hanbaek Lyu
245
14
0
11 Feb 2024
Principled Penalty-based Methods for Bilevel Reinforcement Learning and
  RLHF
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHFInternational Conference on Machine Learning (ICML), 2024
Han Shen
Zhuoran Yang
Tianyi Chen
OffRL
372
29
0
10 Feb 2024
Glocal Hypergradient Estimation with Koopman Operator
Glocal Hypergradient Estimation with Koopman Operator
Ryuichiro Hataya
Yoshinobu Kawahara
228
2
0
05 Feb 2024
BECLR: Batch Enhanced Contrastive Few-Shot Learning
BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis
Hadi Jamali Rad
273
7
0
04 Feb 2024
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
Pawel Batorski
Dawid Malarz
Marcin Przewiȩźlikowski
Marcin Mazur
S. Tadeja
Przemysław Spurek
275
2
0
02 Feb 2024
Constrained Bi-Level Optimization: Proximal Lagrangian Value function
  Approach and Hessian-free Algorithm
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free AlgorithmInternational Conference on Learning Representations (ICLR), 2024
Wei-Ting Yao
Chengming Yu
Shangzhi Zeng
Jin Zhang
245
23
0
29 Jan 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and
  Data Attribution
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data AttributionNeural Information Processing Systems (NeurIPS), 2024
Ian Covert
Chanwoo Kim
Su-In Lee
James Zou
Tatsunori Hashimoto
TDI
325
15
0
29 Jan 2024
Incorporating Exemplar Optimization into Training with Dual Networks for
  Human Mesh Recovery
Incorporating Exemplar Optimization into Training with Dual Networks for Human Mesh RecoveryNeural Information Processing Systems (NeurIPS), 2024
Yongwei Nie
Mingxian Fan
Chengjiang Long
Qing Zhang
Jian Zhu
Xuemiao Xu
3DH
245
0
0
25 Jan 2024
Convex and Bilevel Optimization for Neuro-Symbolic Inference and
  Learning
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Charles Dickens
Changyu Gao
Connor Pryor
Stephen J. Wright
Lise Getoor
384
3
0
17 Jan 2024
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
329
11
0
17 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models
EraseDiff: Erasing Data Influence in Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Jing Wu
Trung Le
Munawar Hayat
Mehrtash Harandi
DiffM
432
13
0
11 Jan 2024
Any-Way Meta Learning
Any-Way Meta LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Junhoo Lee
Yearim Kim
Hyunho Lee
Nojun Kwak
135
2
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 SystemsInternational Conference on Information and Knowledge Management (CIKM), 2023
Youshao Xiao
Shangchun Zhao
Zhenglei Zhou
Zhaoxin Huan
Lin Ju
Xiaolu Zhang
Lin Wang
Jun Zhou
OffRL
251
12
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
299
1
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
196
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 ProgrammingAAAI Conference on Artificial Intelligence (AAAI), 2023
Minjae Cho
Chuangchuang Sun
207
6
0
15 Dec 2023
Accelerating Meta-Learning by Sharing Gradients
Accelerating Meta-Learning by Sharing Gradients
Oscar Chang
Hod Lipson
203
1
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
212
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
202
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 LossIEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Zezhou Wang
Guitao Cao
Xidong Xi
Jiangtao Wang
213
3
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
476
6
0
19 Nov 2023
A Single-Loop Algorithm for Decentralized Bilevel Optimization
A Single-Loop Algorithm for Decentralized Bilevel OptimizationMathematics of Operations Research (MOR), 2023
Youran Dong
Shiqian Ma
Junfeng Yang
Chao Yin
374
9
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
357
22
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
222
3
0
30 Oct 2023
Behavior Alignment via Reward Function Optimization
Behavior Alignment via Reward Function OptimizationNeural Information Processing Systems (NeurIPS), 2023
Dhawal Gupta
Yash Chandak
Scott M. Jordan
Philip S. Thomas
Bruno Castro da Silva
357
19
0
29 Oct 2023
Contextual Stochastic Bilevel Optimization
Contextual Stochastic Bilevel OptimizationNeural Information Processing Systems (NeurIPS), 2023
Yifan Hu
Jie Wang
Yao Xie
Andreas Krause
Daniel Kuhn
239
18
0
27 Oct 2023
Human-Guided Complexity-Controlled Abstractions
Human-Guided Complexity-Controlled AbstractionsNeural Information Processing Systems (NeurIPS), 2023
Andi Peng
Mycal Tucker
Eoin M. Kenny
Noga Zaslavsky
Pulkit Agrawal
Julie A. Shah
197
0
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 OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023
Zixin Ding
Si-An Chen
Ruoxi Jia
Yuxin Chen
296
2
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
284
21
0
10 Oct 2023
Deep Concept Removal
Deep Concept Removal
Yegor Klochkov
Jean-François Ton
Ruocheng Guo
Yang Liu
Hang Li
134
0
0
09 Oct 2023
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