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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
Making Scalable Meta Learning Practical
Making Scalable Meta Learning PracticalNeural Information Processing Systems (NeurIPS), 2023
Sang Keun Choe
Sanket Vaibhav Mehta
Hwijeen Ahn
Willie Neiswanger
Pengtao Xie
Emma Strubell
Eric Xing
310
20
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-LearningNeural Information Processing Systems (NeurIPS), 2023
Junhoo Lee
Jayeon Yoo
Nojun Kwak
248
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 ParadigmNeural Information Processing Systems (NeurIPS), 2023
Qi Wang
Yiqin Lv
Yanghe Feng
Zheng Xie
Jincai Huang
243
14
0
01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property
  Prediction
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Shiguang Wu
Yaqing Wang
Quanming Yao
166
6
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
Marten van Dijk
Lydia Y. Chen
NoLa
247
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 ApproximationInternational Conference on Learning Representations (ICLR), 2023
Jeongyeol Kwon
Dohyun Kwon
Steve Wright
Robert D. Nowak
342
54
0
04 Sep 2023
Ensuring User-side Fairness in Dynamic Recommender Systems
Ensuring User-side Fairness in Dynamic Recommender SystemsThe Web Conference (WWW), 2023
Hyunsik Yoo
Zhichen Zeng
Jian Kang
Ruizhong Qiu
David Zhou
Zhining Liu
Haiwei Yang
Charlie Xu
Eunice Chan
Hanghang Tong
294
34
0
29 Aug 2023
Staleness-Alleviated Distributed GNN Training via Online
  Dynamic-Embedding Prediction
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding PredictionSDM (SDM), 2023
Guangji Bai
Ziyang Yu
Zheng Chai
Yue Cheng
Bo Pan
GNN
242
5
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
104
1
0
20 Aug 2023
Differentiable Robust Model Predictive Control
Differentiable Robust Model Predictive Control
Alex Oshin
Hassan Almubarak
Evangelos A. Theodorou
177
16
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
182
3
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 BeyondIEEE transactions on multimedia (IEEE TMM), 2023
Chen Shuai
Meng Fanman
Runtong Zhang
Heqian Qiu
Hongliang Li
Wu Qingbo
Xu Linfeng
VLM
211
31
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 ProblemNeural Information Processing Systems (NeurIPS), 2023
Jincheng Cao
Ruichen Jiang
Nazanin Abolfazli
Erfan Yazdandoost Hamedani
Aryan Mokhtari
271
13
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
148
9
0
12 Aug 2023
Meta-learning in healthcare: A survey
Meta-learning in healthcare: A surveySN Computer Science (SCS), 2023
Alireza Rafiei
Ronald Moore
S. Jahromi
F. Hajati
Rishikesan Kamaleswaran
338
17
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 LearningIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2023
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
373
48
0
01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial TrainingInternational Conference on Learning Representations (ICLR), 2023
Daouda Sow
Sen-Fon Lin
Zinan Lin
Yitao Liang
AAMLOOD
306
2
0
01 Aug 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
461
73
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 ApplicationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
213
14
0
28 Jul 2023
Towards Task Sampler Learning for Meta-Learning
Towards Task Sampler Learning for Meta-LearningInternational Journal of Computer Vision (IJCV), 2023
Wenwen Qiang
Jingyao Wang
Xingzhe Su
Changwen Zheng
Gang Hua
Hui Xiong
407
20
0
18 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
235
180
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
268
2
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
430
11
0
26 Jun 2023
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed
  Smoothness Conditions
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness ConditionsJournal of machine learning research (JMLR), 2023
Xuxing Chen
Tesi Xiao
Krishnakumar Balasubramanian
284
32
0
21 Jun 2023
Differentiable Instruction Optimization for Cross-Task Generalization
Differentiable Instruction Optimization for Cross-Task GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Masaru Isonuma
Junichiro Mori
Ichiro Sakata
230
0
0
16 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete
  Representations
Unbiased Learning of Deep Generative Models with Structured Discrete RepresentationsNeural Information Processing Systems (NeurIPS), 2023
H. Bendekgey
Gabriel Hope
Erik B. Sudderth
OCLBDLDRL
191
1
0
14 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Revisiting Data-Free Knowledge Distillation with Poisoned TeachersInternational Conference on Machine Learning (ICML), 2023
Junyuan Hong
Yi Zeng
Shuyang Yu
Lingjuan Lyu
R. Jia
Jiayu Zhou
AAML
116
16
0
04 Jun 2023
Effective Structured Prompting by Meta-Learning and Representative
  Verbalizer
Effective Structured Prompting by Meta-Learning and Representative VerbalizerInternational Conference on Machine Learning (ICML), 2023
Weisen Jiang
Yu Zhang
James T. Kwok
VLMOffRL
265
21
0
01 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated
  Bilevel Learning
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel LearningNeural Information Processing Systems (NeurIPS), 2023
Yifan Yang
Peiyao Xiao
Kaiyi Ji
FedML
410
24
0
30 May 2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for
  Multi-Block Bilevel Optimization
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel OptimizationInternational Conference on Machine Learning (ICML), 2023
Quanqi Hu
Zimeng Qiu
Zhishuai Guo
Lijun Zhang
Tianbao Yang
190
8
0
30 May 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level OptimizationNeural Information Processing Systems (NeurIPS), 2023
Chen Fan
Gaspard Choné-Ducasse
Mark Schmidt
Christos Thrampoulidis
249
4
0
30 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-LearningInternational Conference on Machine Learning (ICML), 2023
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
414
16
0
28 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zero- and Few-Shot Event Detection via Prompt-Based Meta LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhenrui Yue
Huimin Zeng
Mengfei Lan
Heng Ji
D. Wang
VLM
169
18
0
27 May 2023
Test like you Train in Implicit Deep Learning
Test like you Train in Implicit Deep Learning
Zaccharie Ramzi
Pierre Ablin
Gabriel Peyré
Thomas Moreau
214
3
0
24 May 2023
Effective Bilevel Optimization via Minimax Reformulation
Xiaoyu Wang
Boyao Wang
Renjie Pi
Tong Zhang
210
3
0
22 May 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta
  Learning
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhenrui Yue
Huimin Zeng
Yang Zhang
Lanyu Shang
Dong Wang
197
21
0
22 May 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau EnvelopesIEEE Conference on Decision and Control (CDC), 2023
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
259
2
0
20 May 2023
Prompt-Tuning Decision Transformer with Preference Ranking
Prompt-Tuning Decision Transformer with Preference Ranking
Shengchao Hu
Li Shen
Ya Zhang
Dacheng Tao
OffRL
199
17
0
16 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image
  Depth Prediction
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction
Cho-Ying Wu
Yiqi Zhong
Junying Wang
Ulrich Neumann
MDE
200
6
0
12 May 2023
Stackelberg Games for Learning Emergent Behaviors During Competitive
  Autocurricula
Stackelberg Games for Learning Emergent Behaviors During Competitive AutocurriculaIEEE International Conference on Robotics and Automation (ICRA), 2023
Boling Yang
Liyuan Zheng
Lillian J. Ratliff
Byron Boots
Joshua R. Smith
195
6
0
04 May 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
233
9
0
27 Apr 2023
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object
  Detection
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object DetectionComputer Vision and Pattern Recognition (CVPR), 2023
B. Demirel
Orhun Bugra Baran
R. G. Cinbis
249
20
0
24 Apr 2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image
  Recognition
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
Yanan Wu
Songhe Feng
Yang Wang
216
18
0
21 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
196
0
0
13 Apr 2023
Meta Compositional Referring Expression Segmentation
Meta Compositional Referring Expression SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Kepeng Xu
Mark He Huang
Xindi Shang
Zehuan Yuan
Ying Sun
Jun Liu
357
25
0
10 Apr 2023
Learning to Learn with Indispensable Connections
Learning to Learn with Indispensable Connections
Sambhavi Tiwari
Manas Gogoi
Shekhar Verma
Krishna Pratap Singh
CLL
155
1
0
06 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive PreconditionerComputer Vision and Pattern Recognition (CVPR), 2023
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
308
25
0
04 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot
  Action Recognition
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
207
60
0
03 Apr 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Scalable Bayesian Meta-Learning through Generalized Implicit GradientsAAAI Conference on Artificial Intelligence (AAAI), 2023
Yilang Zhang
Bingcong Li
Shi-Ji Gao
G. Giannakis
BDL
166
12
0
31 Mar 2023
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation
  Models
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Dohwan Ko
Joon-Young Choi
Hyeong Kyu Choi
Kyoung-Woon On
Byungseok Roh
Hyunwoo J. Kim
226
29
0
23 Mar 2023
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