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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
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training
Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training
Reza Shirkavand
Qi He
Peiran Yu
Heng-Chiao Huang
ALM
104
0
0
05 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
221
3
0
04 Feb 2025
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy
Nastaran Darabi
Divake Kumar
Sina Tayebati
A. R. Trivedi
AAML
139
0
0
04 Feb 2025
Geometric Neural Process Fields
Geometric Neural Process Fields
Wenzhe Yin
Zehao Xiao
Jiayi Shen
Yunlu Chen
Cees G. M. Snoek
Jan-Jakob Sonke
E. Gavves
AI4CE
174
0
0
04 Feb 2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Rudolf Reiter
Jasper Hoffmann
D. Reinhardt
Florian Messerer
Katrin Baumgärtner
Shamburaj Sawant
Joschka Boedecker
Moritz Diehl
S. Gros
128
5
0
04 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization
qNBO: quasi-Newton Meets Bilevel Optimization
Sheng Fang
Yong Liu
Wei-Ting Yao
Chengming Yu
Jin Zhang
158
0
0
03 Feb 2025
Latent Thought Models with Variational Bayes Inference-Time Computation
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong
Minglu Zhao
Dehong Xu
Bo Pang
Shu Wang
...
Zhangzhang Si
Chuan Li
Jianwen Xie
Sirui Xie
Ying Nian Wu
VLMLRMBDL
145
10
0
03 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
Kaixi Bao
Chenhao Li
Yarden As
Andreas Krause
Marco Hutter
OffRLCLL
261
1
0
03 Feb 2025
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
Qianyu Guo
Jingrong Wu
Tianxing Wu
Hongru Wang
Weifeng Ge
Wenqiang Zhang
58
0
0
03 Feb 2025
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Luca Ciampi
Ali Azmoudeh
Elif Ecem Akbaba
Erdi Sarıtaş
Ziya Ata Yazıcı
H. K. Ekenel
Giuseppe Amato
Fabrizio Falchi
185
0
0
31 Jan 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
Se-Wook Yoo
Seung-Woo Seo
108
0
0
30 Jan 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
Surojit Saha
Ross T. Whitaker
104
0
0
28 Jan 2025
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management
Bob Johnson
Michael Geller
95
1
0
28 Jan 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning
Dunwei Tu
Huiyu Yi
Yanjie Wang
Baile Xu
Jian Zhao
Furao Shen
CLL
195
0
0
28 Jan 2025
Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
110
1
0
28 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
118
4
0
28 Jan 2025
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun Luo
198
2
0
28 Jan 2025
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning
Zhihan Zheng
Haitao Yuan
Minxiao Chen
Shangguang Wang
AI4TS
127
2
0
28 Jan 2025
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving
Jules Sanchez
Jean-Emmanuel Deschaud
Franccois Goulette
264
2
0
28 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
162
10
0
28 Jan 2025
Geometric Mean Improves Loss For Few-Shot Learning
Geometric Mean Improves Loss For Few-Shot Learning
Tong Wu
Takumi Kobayashi
160
0
0
24 Jan 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning
Rhythm Baghel
Souvik Maji
Pratik Mazumder
127
0
0
24 Jan 2025
Rethinking the Sample Relations for Few-Shot Classification
Rethinking the Sample Relations for Few-Shot Classification
Guowei Yin
Sheng Huang
Luwen Huangfu
Yi Zhang
Xiaohong Zhang
VLM
94
0
0
23 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan
Yutong He
Fahim Tajwar
Wen-Tse Chen
Ruslan Salakhutdinov
Jeff Schneider
OffRLAI4CE
153
1
0
22 Jan 2025
One-Class Domain Adaptation via Meta-Learning
One-Class Domain Adaptation via Meta-Learning
Stephanie Holly
T. Bierweiler
Stefan von Dosky
Ahmed Frikha
C. Heitzinger
Jana Eder
177
0
0
22 Jan 2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
Wenhao Gu
Li Gu
Ziqiang Wang
Ching Yee Suen
Yang Wang
94
0
0
22 Jan 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
119
0
0
21 Jan 2025
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
Xiaodong Li
Hengzhu Tang
Shuaiyi Nie
Xinghua Zhang
Li Gao
Suqi Cheng
D. Yin
Tingwen Liu
DiffM
132
2
0
20 Jan 2025
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
Tong Nie
Wei Ma
Jian Sun
Yu Yang
Jiannong Cao
AI4TSAI4CE
87
0
0
20 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Jialong Guo
Ke Liu
Jiangchao Yao
Zhihua Wang
Jiajun Bu
Haishuai Wang
AI4TS
125
1
0
20 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
249
12
0
17 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Parinita Nema
V. Kurmi
CLL
150
0
0
17 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
178
5
0
17 Jan 2025
Score-based 3D molecule generation with neural fields
Score-based 3D molecule generation with neural fields
Matthieu Kirchmeyer
Pedro H. O. Pinheiro
Saeed Saremi
DiffM
135
2
0
15 Jan 2025
Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks
Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks
Shuang Cui
Yi Li
Jiangmeng Li
Xiongxin Tang
Fuchun Sun
Fanjiang Xu
Hui Xiong
103
0
0
15 Jan 2025
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
Chenyang Qi
Huiping Li
Panfeng Huang
OffRL
89
0
0
13 Jan 2025
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
Han Liu
Yinwei Wei
Fan Liu
Wenjie Wang
Liqiang Nie
Tat-Seng Chua
110
17
0
13 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
375
0
0
10 Jan 2025
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
Jelena Bratulić
Sudhanshu Mittal
David T. Hoffmann
Samuel Böhm
R. Schirrmeister
T. Ball
Christian Rupprecht
Thomas Brox
90
1
0
09 Jan 2025
On Penalty-based Bilevel Gradient Descent Method
On Penalty-based Bilevel Gradient Descent Method
Han Shen
Quan-Wu Xiao
Tianyi Chen
134
59
0
08 Jan 2025
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control
Zherui Huang
Yicheng Liu
Chumeng Liang
Guanjie Zheng
45
0
0
07 Jan 2025
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network
Haosheng Zhang
Hao Huang
123
0
0
06 Jan 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
Chao Liang
Linchao Zhu
Zongxin Yang
Wei Chen
Yi Yang
NoLa
104
0
0
05 Jan 2025
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
Ali Owfi
Jonathan D. Ashdown
K. Turck
49
0
0
03 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
187
1
0
03 Jan 2025
U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario
Jiaxin Song
Xinyu Wang
Yihao Wang
Yifan Tang
Ru Zhang
Jianyi Liu
Gongshen Liu
AAML
84
0
0
03 Jan 2025
General Information Metrics for Improving AI Model Training Efficiency
Jianfeng Xu
Congcong Liu
Xiaoying Tan
Xiaojie Zhu
Anpeng Wu
...
Weijun Kong
Chun Li
Hu Xu
Kun Kuang
Leilei Gan
146
1
0
02 Jan 2025
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
188
55
0
31 Dec 2024
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Jiangdong Fan
Hongcai He
Paul Weng
Hui Xu
Jie Shao
81
1
0
31 Dec 2024
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
139
5
0
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