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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
PASSION: Towards Effective Incomplete Multi-Modal Medical Image
  Segmentation with Imbalanced Missing Rates
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates
Junjie Shi
Caozhi Shang
Zhaobin Sun
Li Yu
Xin Yang
Zengqiang Yan
84
6
0
20 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and
  Self-Training
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yuqi Liu
Mengyu Li
Ximing Li
Lan Huang
Fausto Giunchiglia
Yanchun Liang
Xiaoyue Feng
Renchu Guan
SSL
102
4
0
20 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Cuong Pham
Hoang Anh Dung
Cuong C. Nguyen
Trung Le
Dinh Q. Phung
Gustavo Carneiro
Thanh-Toan Do
MQ
83
0
0
20 Jul 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
171
4
0
20 Jul 2024
Personalized Multi-tier Federated Learning
Personalized Multi-tier Federated Learning
Sourasekhar Banerjee
Ali Dadras
A. Yurtsever
Monowar Bhuyan
FedML
106
3
0
19 Jul 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled
  Perspective
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
Changwen Zheng
Wenwen Qiang
Jianqi Zhang
Changwen Zheng
Jingyao Wang
SSL
111
0
0
19 Jul 2024
Adaptive Cascading Network for Continual Test-Time Adaptation
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen
Fengchun Qiao
Xi Peng
TTACLLVLM
76
1
0
17 Jul 2024
Base Models for Parabolic Partial Differential Equations
Base Models for Parabolic Partial Differential Equations
Xingzi Xu
Ali Hasan
Jie Ding
Vahid Tarokh
84
2
0
17 Jul 2024
Siamese Transformer Networks for Few-shot Image Classification
Siamese Transformer Networks for Few-shot Image Classification
Weihao Jiang
Shuoxi Zhang
Kun He
ViT
108
0
0
16 Jul 2024
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in
  Sustainable Home Environments
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
Junlin Lu
Patrick Mannion
Karl Mason
82
0
0
16 Jul 2024
Graceful task adaptation with a bi-hemispheric RL agent
Graceful task adaptation with a bi-hemispheric RL agent
Grant Nicholas
L. Kuhlmann
Gideon Kowadlo
77
0
0
16 Jul 2024
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse
  Problems
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
Hyungjin Chung
Jong Chul Ye
DiffM
110
7
0
15 Jul 2024
Learning to Unlearn for Robust Machine Unlearning
Learning to Unlearn for Robust Machine Unlearning
Mark He Huang
Lin Geng Foo
Jun Liu
MU
102
12
0
15 Jul 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
Yongyuan Liang
Tingqiang Xu
Kaizhe Hu
Guangqi Jiang
Furong Huang
Huazhe Xu
VGenLM&RoDiffM
99
4
0
15 Jul 2024
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights
  from Q-Values
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values
Ashwin Ramaswamy
Ransalu Senanayake
63
0
0
14 Jul 2024
Model-Agnostic Approximation of Constrained Forest Problems
Model-Agnostic Approximation of Constrained Forest Problems
Corinna Coupette
Alipasha Montaseri
Christoph Lenzen
27
0
0
14 Jul 2024
AutoGRAMS: Autonomous Graphical Agent Modeling Software
AutoGRAMS: Autonomous Graphical Agent Modeling Software
Ben Krause
Lucia Chen
Emmanuel Kahembwe
65
1
0
14 Jul 2024
Domain-adaptive Video Deblurring via Test-time Blurring
Domain-adaptive Video Deblurring via Test-time Blurring
Jin-Ting He
Fu-Jen Tsai
Jia-Hao Wu
Yan-Tsung Peng
Chung-Chi Tsai
Chia-Wen Lin
Yen-Yu Lin
107
1
0
12 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
138
1
0
09 Jul 2024
Regret Analysis of Multi-task Representation Learning for
  Linear-Quadratic Adaptive Control
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Bruce D. Lee
Leonardo F. Toso
Thomas T. Zhang
James Anderson
Nikolai Matni
89
2
0
08 Jul 2024
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain
  Few-shot Action Recognition
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
Fei-Yu Guo
YiKang Wang
Han Qi
Li Zhu
Jing Sun
113
2
0
08 Jul 2024
GenFollower: Enhancing Car-Following Prediction with Large Language
  Models
GenFollower: Enhancing Car-Following Prediction with Large Language Models
Xianda Chen
Mingxing Peng
PakHin Tiu
Yuanfei Wu
Junjie Chen
Meixin Zhu
Xinhu Zheng
77
7
0
08 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Guohao Li
Ming-Hsuan Yang
Liqiang Nie
M. Zhang
Mamba
101
6
0
08 Jul 2024
Federated Knowledge Transfer Fine-tuning Large Server Model with
  Resource-Constrained IoT Clients
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients
Shaoyuan Chen
Linlin You
Rui Liu
Shuo Yu
A. Abdelmoniem
95
0
0
07 Jul 2024
Communication and Control Co-Design in 6G: Sequential Decision-Making
  with LLMs
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs
Xianfu Chen
Celimuge Wu
Yi Shen
Yusheng Ji
Tsutomu Yoshinaga
Qiang Ni
Charilaos C. Zarakovitis
Honggang Zhang
87
3
0
06 Jul 2024
Strengthening Structural Inductive Biases by Pre-training to Perform
  Syntactic Transformations
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
Matthias Lindemann
Alexander Koller
Ivan Titov
AI4CENAI
73
4
0
05 Jul 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
145
113
0
05 Jul 2024
Text2TimeSeries: Enhancing Financial Forecasting through Time Series
  Prediction Updates with Event-Driven Insights from Large Language Models
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models
Litton J. Kurisinkel
Pruthwik Mishra
Yue Zhang
101
5
0
04 Jul 2024
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
Hongyu Zhou
Vasileios Tzoumas
172
5
0
04 Jul 2024
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
Wanqi Yang
Haoran Wang
Lei Wang
Ge Song
Yang Gao
Yang Gao
92
0
0
04 Jul 2024
Artificial Inductive Bias for Synthetic Tabular Data Generation in
  Data-Scarce Scenarios
Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
Patricia A. Apellániz
Ana Jiménez
Borja Arroyo Galende
J. Parras
Santiago Zazo
115
1
0
03 Jul 2024
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot
  Object Detection
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee
Ryan Sharp
Rishabh K. Iyer
103
1
0
02 Jul 2024
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual
  Prompts
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Pasquale De Marinis
Nicola Fanelli
Raffaele Scaringi
Emanuele Colonna
Giuseppe Fiameni
G. Vessio
Giovanna Castellano
MLLMVLM
77
2
0
02 Jul 2024
Unleash the Power of Local Representations for Few-Shot Classification
Unleash the Power of Local Representations for Few-Shot Classification
Shi Tang
Guiming Luo
Xinchen Ye
Zhiyi Xia
64
0
0
02 Jul 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability
  Learning
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning
Bowen Zhang
Zhichao Huang
Genan Dai
Guangning Xu
Xiaomao Fan
Hu Huang
82
0
0
02 Jul 2024
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
Yuquan Xie
Wanqi Yang
Jinyu Wei
Ming Yang
Yang Gao
AI4Ed
105
1
0
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Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for
  Robot Learning
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Yixiao Wang
Yifei Zhang
Mingxiao Huo
Ran Tian
Xiang Zhang
...
Chenfeng Xu
Pengliang Ji
Wei Zhan
Mingyu Ding
Masayoshi Tomizuka
MoE
126
23
0
01 Jul 2024
GM-DF: Generalized Multi-Scenario Deepfake Detection
GM-DF: Generalized Multi-Scenario Deepfake Detection
Yingxin Lai
Zitong Yu
Jing Yang
Bin Li
Xiangui Kang
Linlin Shen
134
11
0
28 Jun 2024
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Wenxuan Ma
Shuang Li
Lincan Cai
Jingxuan Kang
81
2
0
27 Jun 2024
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in
  Retrieval-Augmented Generative Models
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
Zhen Tan
Chengshuai Zhao
Raha Moraffah
Yifan Li
Song Wang
Jundong Li
Tianlong Chen
Huan Liu
SILM
101
25
0
26 Jun 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Dunyuan Xu
Xi Wang
Jingyang Zhang
Pheng-Ann Heng
MedImCLL
156
0
0
26 Jun 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
Hersh Sanghvi
Spencer Folk
Camillo J Taylor
94
3
0
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The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
108
1
0
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Data-driven Modeling in Metrology -- A Short Introduction, Current
  Developments and Future Perspectives
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
N. Schiering
Christopher Syben
Richard Schielein
Andreas Maier
AI4CE
90
3
0
24 Jun 2024
Cross-domain Transfer of Valence Preferences via a Meta-optimization
  Approach
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach
Chuang Zhao
Hongke Zhao
Ming He
Xiaomeng Li
Jianping Fan
75
0
0
24 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware
  Prompting
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
98
2
0
24 Jun 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting
  with Proxy Data
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
Zexing Xu
Linjun Zhang
Sitan Yang
Rasoul Etesami
Hanghang Tong
Huan Zhang
Jiawei Han
AI4TS
87
4
0
23 Jun 2024
MetaFollower: Adaptable Personalized Autonomous Car Following
MetaFollower: Adaptable Personalized Autonomous Car Following
Xianda Chen
Kehua Chen
Meixin Zhu
Hao
Yang
Shaojie Shen
Xuesong Wang
Yinhai Wang
120
5
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Towards Exact Computation of Inductive Bias
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Akhilan Boopathy
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
96
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Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous
  Decentralized Federated Learning Approach
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
Chengzhe Piao
Taiyu Zhu
Yu Wang
S. Baldeweg
Paul Taylor
Pantelis Georgiou
Jiahao Sun
Jun Wang
Kezhi Li
FedML
76
0
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21 Jun 2024
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