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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
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Xiaobo Zhu
Yan Wu
Qin-Hu Zhang
Zhanheng Chen
Ying He
AI4CE
75
2
0
15 Oct 2023
A Partially Supervised Reinforcement Learning Framework for Visual
  Active Search
A Partially Supervised Reinforcement Learning Framework for Visual Active Search
Anindya Sarkar
Nathan Jacobs
Yevgeniy Vorobeychik
85
6
0
15 Oct 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural
  Networks
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
Woojin Cho
Kookjin Lee
Donsub Rim
Noseong Park
AI4CEPINN
94
20
0
14 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image
  Classification
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification
Qianyu Guo
Huifang Du
Xing Jia
Shuyong Gao
Yan Teng
Haofen Wang
Wenqiang Zhang
MedImVLM
77
0
0
14 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in
  Federated Learning
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Mingjia Shi
Yuhao Zhou
Kai Wang
Huaizheng Zhang
Shudong Huang
Qing Ye
Jiangcheng Lv
75
11
0
13 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning
Subspace Adaptation Prior for Few-Shot Learning
Mike Huisman
Aske Plaat
Jan N. van Rijn
VLM
73
2
0
13 Oct 2023
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation
  Encoding
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding
Jixuan Cui
Jun Li
Zhen Mei
Kang Wei
Sha Wei
Ming Ding
Wen Chen
Song Guo
FedML
50
7
0
13 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
82
5
0
13 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement
  Learning via Supervised Pretraining
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Licong Lin
Yu Bai
Song Mei
OffRL
95
53
0
12 Oct 2023
X-Pose: Detecting Any Keypoints
X-Pose: Detecting Any Keypoints
Jie Yang
Ailing Zeng
Ruimao Zhang
Lei Zhang
93
7
0
12 Oct 2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual
  and Transfer Learning
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
Lapo Frati
Neil Traft
Jeff Clune
Nick Cheney
CLL
79
1
0
12 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of
  Parameters
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
Mateusz Michalkiewicz
M. Faraki
Xiang Yu
Manmohan Chandraker
Mahsa Baktash
53
4
0
11 Oct 2023
How Do Large Language Models Capture the Ever-changing World Knowledge?
  A Review of Recent Advances
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Zihan Zhang
Meng Fang
Lingxi Chen
Mohammad-Reza Namazi-Rad
Jun Wang
KELM
96
24
0
11 Oct 2023
Multi-task Explainable Skin Lesion Classification
Multi-task Explainable Skin Lesion Classification
Mahapara Khurshid
Mayank Vatsa
Richa Singh
58
1
0
11 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
135
57
0
10 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
93
12
0
10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning
  Techniques
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
Mike Huisman
Aske Plaat
Jan N. van Rijn
MLT
85
9
0
09 Oct 2023
A Meta-Learning Perspective on Transformers for Causal Language Modeling
A Meta-Learning Perspective on Transformers for Causal Language Modeling
Xinbo Wu
Lav Varshney
80
7
0
09 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable
  Environments
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen
Junyin Ye
Hang Zhao
Yi-Chen Li
Haoran Shi
...
Si-Hang Yang
Anqi Huang
Kai Xu
Zongzhang Zhang
Yang Yu
73
0
0
09 Oct 2023
Making Scalable Meta Learning Practical
Making Scalable Meta Learning Practical
Sang Keun Choe
Sanket Vaibhav Mehta
Hwijeen Ahn
Willie Neiswanger
Pengtao Xie
Emma Strubell
Eric Xing
115
16
0
09 Oct 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised
  Time Series Anomaly Detection
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
Feiyi Chen
Zhen Qin
Yingying Zhang
Shuiguang Deng
Lunting Fan
Guansong Pang
Qingsong Wen
AI4TS
82
7
0
09 Oct 2023
Locality-Aware Generalizable Implicit Neural Representation
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee
Chiheon Kim
Minsu Cho
Wook-Shin Han
87
12
0
09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
143
10
0
08 Oct 2023
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
Hao Zhang
Lumin Xu
Shenqi Lai
Wenqi Shao
Nanning Zheng
Ping Luo
Yu Qiao
Kaipeng Zhang
ObjDVLM
108
11
0
08 Oct 2023
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via
  Differentiable Physics Simulation
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation
Yuqi Xiang
Feitong Chen
Qinsi Wang
Yang Gang
Xiang Zhang
Xinghao Zhu
Xingyu Liu
Lin Shao
73
1
0
07 Oct 2023
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for
  Industrial IoT
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT
Chen Jiao
Fengjian Mao
Lv Zuohong
Jianhua Tang
54
8
0
07 Oct 2023
PatchProto Networks for Few-shot Visual Anomaly Classification
PatchProto Networks for Few-shot Visual Anomaly Classification
Jian Wang
Yue Zhuo
55
0
0
07 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Hui Xiong
VLMViT
138
2
0
05 Oct 2023
Discovering General Reinforcement Learning Algorithms with Adversarial
  Environment Design
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
Matthew Jackson
Minqi Jiang
Jack Parker-Holder
Risto Vuorio
Chris Xiaoxuan Lu
Gregory Farquhar
Shimon Whiteson
Jakob N. Foerster
OOD
64
9
0
04 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-Learning
Junhoo Lee
Jayeon Yoo
Nojun Kwak
68
2
0
04 Oct 2023
Federated Conditional Stochastic Optimization
Federated Conditional Stochastic Optimization
Xidong Wu
Jianhui Sun
Zhengmian Hu
Junyi Li
Aidong Zhang
Heng-Chiao Huang
FedML
155
4
0
04 Oct 2023
FedL2P: Federated Learning to Personalize
FedL2P: Federated Learning to Personalize
Royson Lee
Minyoung Kim
Da Li
Xinchi Qiu
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
FedML
67
0
0
03 Oct 2023
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement
  Learning
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
Finn Rietz
Erik Schaffernicht
Stefan Heinrich
J. A. Stork
73
1
0
03 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group
  Convolution
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
145
12
0
03 Oct 2023
Robot Fleet Learning via Policy Merging
Robot Fleet Learning via Policy Merging
Lirui Wang
Kaiqing Zhang
Allan Zhou
Max Simchowitz
Russ Tedrake
126
5
0
02 Oct 2023
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
104
3
0
02 Oct 2023
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by
  Simulation
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
Matthias Lindemann
Alexander Koller
Ivan Titov
AI4CE
70
5
0
01 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Qi Wang
Yiqin Lv
Yanghe Feng
Zheng Xie
Jincai Huang
80
9
0
01 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks
Learning How to Propagate Messages in Graph Neural Networks
Teng Xiao
Zhengyu Chen
Donglin Wang
Suhang Wang
GNN
96
80
0
01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property
  Prediction
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Shiguang Wu
Yaqing Wang
Quanming Yao
56
4
0
01 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control
AdaptNet: Policy Adaptation for Physics-Based Character Control
Pei Xu
Kaixiang Xie
Sheldon Andrews
P. Kry
Michael Neff
Morgan McGuire
Ioannis Karamouzas
Victor Zordan
TTA
119
19
0
30 Sep 2023
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit
  Neural Representations
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
Carlos Rombaldo Junior
Ingolf Becker
Zongyu Guo
Shane Johnson
76
12
0
29 Sep 2023
Preface: A Data-driven Volumetric Prior for Few-shot Ultra
  High-resolution Face Synthesis
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis
Marcel C. Bühler
Kripasindhu Sarkar
Tanmay Shah
Gengyan Li
Daoye Wang
...
Sergio Orts
Dmitry Lagun
Otmar Hilliges
Thabo Beeler
Abhimitra Meka
CVBM3DH
86
20
0
28 Sep 2023
Towards Poisoning Fair Representations
Towards Poisoning Fair Representations
Tianci Liu
Haoyu Wang
Feijie Wu
Hengtong Zhang
Pan Li
Lu Su
Jing Gao
AAML
83
2
0
28 Sep 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
Vaibhav Ganatra
70
3
0
28 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
101
2
0
28 Sep 2023
Multi-unit soft sensing permits few-shot learning
Multi-unit soft sensing permits few-shot learning
B. Grimstad
Fadhil G. Al-Amran
Maitham G. Yousif
92
1
0
27 Sep 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using
  Test-Time Feedback
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
Teresa Yeo
Oğuzhan Fatih Kar
Zahra Sodagar
Amir Zamir
TTAOOD
74
4
0
27 Sep 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning
  Model Development, Provenance Tracking, and Deployment in Python
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python
Heinrich Peters
Michael Parrott
46
0
0
27 Sep 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
100
10
0
26 Sep 2023
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