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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
v1v2v3 (latest)

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
ArXiv (abs)PDFHTML

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 5,503 papers shown
Title
Towards a More Complete Theory of Function Preserving Transforms
Towards a More Complete Theory of Function Preserving Transforms
Michael Painter
27
0
0
14 Oct 2024
Combining Observational Data and Language for Species Range Estimation
Combining Observational Data and Language for Species Range Estimation
Max Hamilton
Christian Lange
Elijah Cole
Alexander Shepard
Samuel Heinrich
Oisin Mac Aodha
Grant Van Horn
Subhransu Maji
68
5
0
14 Oct 2024
Neural networks that overcome classic challenges through practice
Neural networks that overcome classic challenges through practice
Kazuki Irie
Brenden M. Lake
97
6
0
14 Oct 2024
Continual Learning Improves Zero-Shot Action Recognition
Continual Learning Improves Zero-Shot Action Recognition
Shreyank N. Gowda
Davide Moltisanti
Laura Sevilla-Lara
BDLVLMCLL
135
1
0
14 Oct 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can
  Acquire from the Tasks
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks
Xinyue Liu
Yunlong Gao
Linlin Zong
Bo Xu
VLM
77
1
0
14 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
Learning via Surrogate PAC-Bayes
Learning via Surrogate PAC-Bayes
Antoine Picard-Weibel
Roman Moscoviz
Benjamin Guedj
52
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
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City
  Real Estate Appraisal
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal
Weijia Zhang
Jindong Han
Hao Liu
Wei Fan
Haoran Wang
Hui Xiong
53
1
0
11 Oct 2024
On-Chip Learning via Transformer In-Context Learning
On-Chip Learning via Transformer In-Context Learning
Jan Finkbeiner
Emre Neftci
50
0
0
11 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
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge
  Graphs
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
Ran Liu
Zhongzhou Liu
Xiaoli Li
Yuan Fang
86
0
0
11 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models
Metalic: Meta-Learning In-Context with Protein Language Models
Jacob Beck
Shikha Surana
Manus McAuliffe
Oliver Bent
Thomas D. Barrett
Juan Jose Garau Luis
Paul Duckworth
AI4CE
83
1
0
10 Oct 2024
System 2 Reasoning via Generality and Adaptation
System 2 Reasoning via Generality and Adaptation
Sejin Kim
Sundong Kim
LRMAI4CE
120
0
0
10 Oct 2024
Retrieval-Augmented Decision Transformer: External Memory for In-context
  RL
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
Thomas Schmied
Fabian Paischer
Vihang Patil
M. Hofmarcher
Razvan Pascanu
Sepp Hochreiter
OffRL
101
7
0
09 Oct 2024
Transfer Learning for a Class of Cascade Dynamical Systems
Transfer Learning for a Class of Cascade Dynamical Systems
Shima Rabiei
Sandipan Mishra
Santiago Paternain
53
0
0
09 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category
  Discovery
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
Shijie Ma
Fei Zhu
Zhun Zhong
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
87
9
0
09 Oct 2024
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction
  Equations Using Massive PINN-Based Prior Data
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data
Mingu Kang
Dongseok Lee
Woojin Cho
Jaehyeon Park
Kookjin Lee
Anthony Gruber
Youngjoon Hong
Noseong Park
DiffMAI4CE
72
0
0
09 Oct 2024
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI
Dvij Kalaria
Haoru Xue
Wenli Xiao
Tony Tao
Guanya Shi
John M. Dolan
96
2
0
09 Oct 2024
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing
Mengze Hong
Di Jiang
Yuanfeng Song
Chen Jason Zhang
83
2
0
08 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive
  Learning
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning
Shiguang Wu
Yaqing Wang
Yatao Bian
Quanming Yao
CLL
137
0
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
Federated brain tumor segmentation: an extensive benchmark
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OODFedML
97
5
0
07 Oct 2024
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani
Josue Nassar
Hyungju Jeon
Matthew Dowling
Il Memming Park
143
1
0
07 Oct 2024
Active Fine-Tuning of Multi-Task Policies
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
149
0
0
07 Oct 2024
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for
  Speech Emotion Recognition
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
David-Gabriel Ion
Razvan-Alexandru Smadu
Dumitru-Clementin Cercel
Florin-Catalin Pop
Mihaela-Claudia Cercel
65
0
0
06 Oct 2024
Episodic fine-tuning prototypical networks for optimization-based
  few-shot learning: Application to audio classification
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification
Xuanyu Zhuang
Geoffroy Peeters
Gaël Richard
35
0
0
04 Oct 2024
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of
  Meta-Learning and Joint Learning AMR Parsing
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing
J. Kang
Maximin Coavoux
Cédric Lopez
D. Schwab
64
3
0
04 Oct 2024
Adaptive Masking Enhances Visual Grounding
Adaptive Masking Enhances Visual Grounding
Sen Jia
Lei Li
75
0
0
04 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors
Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
92
3
0
04 Oct 2024
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
Louis Serrano
Armand K. Koupai
Thomas X. Wang
Pierre Erbacher
Patrick Gallinari
AI4CE
107
5
0
04 Oct 2024
Recurrent Few-Shot model for Document Verification
Recurrent Few-Shot model for Document Verification
Maxime Talarmain
Carlos Boned
Sanket Biswas
Oriol Ramos
68
1
0
03 Oct 2024
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task
  Construction for Few-Shot Classification
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification
Yunchuan Guan
Yu Liu
Ketong Liu
Ke Zhou
Zhiqi Shen
78
1
0
03 Oct 2024
Learning to learn ecosystems from limited data -- a meta-learning
  approach
Learning to learn ecosystems from limited data -- a meta-learning approach
Zheng-Meng Zhai
Bryan Glaz
Mulugeta Haile
Ying-Cheng Lai
63
1
0
02 Oct 2024
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training
Chen Tao
Li Shen
Soumik Mondal
64
0
0
02 Oct 2024
One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks
  from Unsegmented Demonstrations
One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations
Shaokang Wu
Yijin Wang
Yanlong Huang
VLM
47
0
0
02 Oct 2024
Reducing Variance in Meta-Learning via Laplace Approximation for
  Regression Tasks
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks
Alfredo Reichlin
Gustaf Tegnér
Miguel Vasco
Hang Yin
Mårten Björkman
Danica Kragic
80
0
0
02 Oct 2024
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation
Roussel Desmond Nzoyem
David A.W. Barton
Tom Deakin
107
4
0
02 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Jinghan Li
Zhicheng Sun
Fei Li
246
2
0
02 Oct 2024
Recovering Time-Varying Networks From Single-Cell Data
Recovering Time-Varying Networks From Single-Cell Data
Euxhen Hasanaj
Barnabás Póczos
Ziv Bar-Joseph
AI4CE
59
0
0
01 Oct 2024
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot
  Learning Approach with Sensor Signals
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals
Yooseok Lim
Sujee Lee
SSL
28
0
0
01 Oct 2024
Meta Reinforcement Learning Approach for Adaptive Resource Optimization
  in O-RAN
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN
Fatemeh Lotfi
Fatemeh Afghah
AI4CE
56
3
0
30 Sep 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained
  Transformers
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
Lirui Wang
Xinlei Chen
Jialiang Zhao
Kaiming He
73
44
0
30 Sep 2024
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint
  Detection
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
Changsheng Lu
Zheyuan Liu
Piotr Koniusz
VLM
75
4
0
30 Sep 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
60
2
0
29 Sep 2024
Convergence-aware Clustered Federated Graph Learning Framework for
  Collaborative Inter-company Labor Market Forecasting
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting
Zhuoning Guo
Hao Liu
Le Zhang
Qi Zhang
Hengshu Zhu
Hui Xiong
AI4TSFedML
145
0
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
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
Dongyue Li
Ziniu Zhang
Lu Wang
Hongyang R. Zhang
105
1
0
28 Sep 2024
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