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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
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 Optimization
Quanqi Hu
Zimeng Qiu
Zhishuai Guo
Lijun Zhang
Tianbao Yang
47
5
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 Optimization
Chen Fan
Gaspard Choné-Ducasse
Mark Schmidt
Christos Thrampoulidis
83
3
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-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
132
8
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 Learning
Zhenrui Yue
Huimin Zeng
Mengfei Lan
Heng Ji
D. Wang
VLM
70
14
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
97
3
0
24 May 2023
Effective Bilevel Optimization via Minimax Reformulation
Xiaoyu Wang
Boyao Wang
Renjie Pi
Tong Zhang
82
1
0
22 May 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta
  Learning
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
Zhenrui Yue
Huimin Zeng
Yang Zhang
Lanyu Shang
Dong Wang
79
17
0
22 May 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Taha Toghani
Sebastian Perez-Salazar
César A. Uribe
112
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
83
14
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
70
5
0
12 May 2023
Stackelberg Games for Learning Emergent Behaviors During Competitive
  Autocurricula
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang
Liyuan Zheng
Lillian J. Ratliff
Byron Boots
Joshua R. Smith
75
5
0
04 May 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
81
6
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 Detection
B. Demirel
Orhun Bugra Baran
R. G. Cinbis
111
12
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
60
11
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
90
0
0
13 Apr 2023
Meta Compositional Referring Expression Segmentation
Meta Compositional Referring Expression Segmentation
Li Xu
Mark He Huang
Xindi Shang
Zehuan Yuan
Ying Sun
Jun Liu
99
23
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
78
1
0
06 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive Preconditioner
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
80
16
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 Recognition
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
84
45
0
03 Apr 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Yilang Zhang
Bingcong Li
Shi-Ji Gao
G. Giannakis
BDL
82
11
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 Models
Dohwan Ko
Joon-Young Choi
Hyeong Kyu Choi
Kyoung-Woon On
Byungseok Roh
Hyunwoo J. Kim
121
23
0
23 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
135
4
0
20 Mar 2023
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic
  Meta-Learning and Brain MRI
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI
Nikhil J. Dhinagar
Vignesh Santhalingam
Katherine E. Lawrence
Emily Laltoo
Paul M. Thompson
60
4
0
14 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent
  advances
Meta-learning approaches for few-shot learning: A survey of recent advances
Hassan Gharoun
Fereshteh Momenifar
Fang Chen
Amir H. Gandomi
OODVLM
106
58
0
13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based
  Meta-Learning
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning
Min Zhang
Zifeng Zhuang
Zhitao Wang
Donglin Wang
Wen-Bin Li
74
5
0
12 Mar 2023
Multi-task Meta Label Correction for Time Series Prediction
Multi-task Meta Label Correction for Time Series Prediction
Luxuan Yang
Ting Gao
Wei Wei
Min Dai
Cheng Fang
Jinqiao Duan
AI4TS
114
4
0
09 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Jun Cen
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
VLM
80
61
0
06 Mar 2023
Implicit Bilevel Optimization: Differentiating through Bilevel
  Optimization Programming
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming
Francesco Alesiani
46
4
0
28 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
117
10
0
23 Feb 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation
Nystrom Method for Accurate and Scalable Implicit Differentiation
Ryuichiro Hataya
M. Yamada
ODL
85
9
0
20 Feb 2023
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk
  Minimization
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
Mathieu Dagréou
Thomas Moreau
Samuel Vaiter
Pierre Ablin
109
12
0
17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning:
  Requirements, Paradigms, and Techniques
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
91
13
0
16 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
79
35
0
16 Feb 2023
Dataset Distillation with Convexified Implicit Gradients
Dataset Distillation with Convexified Implicit Gradients
Noel Loo
Ramin Hasani
Mathias Lechner
Daniela Rus
DD
84
42
0
13 Feb 2023
Hierarchical Optimization-Derived Learning
Hierarchical Optimization-Derived Learning
Risheng Liu
Xuan Liu
Shangzhi Zeng
Jin Zhang
Yixuan Zhang
85
3
0
11 Feb 2023
Communication-Efficient Federated Hypergradient Computation via
  Aggregated Iterative Differentiation
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
Peiyao Xiao
Kaiyi Ji
FedML
74
11
0
09 Feb 2023
Averaged Method of Multipliers for Bi-Level Optimization without
  Lower-Level Strong Convexity
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu
Yaohua Liu
Wei-Ting Yao
Shangzhi Zeng
Jin Zhang
102
24
0
07 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification
Meta-Learning Siamese Network for Few-Shot Text Classification
Chengcheng Han
Yuh-Shyang Wang
Yingnan Fu
Xiang Li
Minghui Qiu
Ming Gao
Aoying Zhou
VLM
72
5
0
05 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel
  Optimization
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Siyuan Xu
Minghui Zhu
78
20
0
03 Feb 2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Daouda Sow
Sen Lin
Yitao Liang
Junshan Zhang
OOD
100
1
0
02 Feb 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
Jihoon Tack
Subin Kim
Sihyun Yu
Jaeho Lee
Jinwoo Shin
Jonathan Richard Schwarz
91
9
0
01 Feb 2023
Auxiliary Learning as an Asymmetric Bargaining Game
Auxiliary Learning as an Asymmetric Bargaining Game
Aviv Shamsian
Aviv Navon
Neta Glazer
Kenji Kawaguchi
Gal Chechik
Ethan Fetaya
85
8
0
31 Jan 2023
Online Loss Function Learning
Online Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
95
5
0
30 Jan 2023
Robust Meta Learning for Image based tasks
Robust Meta Learning for Image based tasks
Peng-Tao Jiang
Xin Ke
Zifeng Wang
Chunxi Li
OODUQCVVLM
225
0
0
30 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
92
52
0
28 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization
Invariant Meta Learning for Out-of-Distribution Generalization
Peng-Tao Jiang
Ke Xin
Zifeng Wang
Chunxi Li
OODOODD
52
2
0
26 Jan 2023
A Fully First-Order Method for Stochastic Bilevel Optimization
A Fully First-Order Method for Stochastic Bilevel Optimization
Jeongyeol Kwon
Dohyun Kwon
S. Wright
Robert D. Nowak
103
78
0
26 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau
  Envelopes
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes
Konstantin Mishchenko
Slavomír Hanzely
Peter Richtárik
FedML
71
6
0
17 Jan 2023
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning
Hao Wang
Pan Li
63
18
0
08 Jan 2023
First-order penalty methods for bilevel optimization
First-order penalty methods for bilevel optimization
Zhaosong Lu
Sanyou Mei
129
36
0
04 Jan 2023
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