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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
Zero-Shot Action Generalization with Limited Observations
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Hanping Zhang
Yuhong Guo
OffRL
125
0
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A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
491
5
0
10 Mar 2025
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Yuxiao Qu
Matthew Y. R. Yang
Amrith Rajagopal Setlur
Lewis Tunstall
E. Beeching
Ruslan Salakhutdinov
Aviral Kumar
OffRL
159
49
0
10 Mar 2025
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
Kexin Di
Xiuxing Li
Yuyang Han
Ziyu Li
Qing Li
Xia Wu
VLM
110
0
0
10 Mar 2025
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
Jie He
Yu Fu
OffRLLRM
135
2
0
09 Mar 2025
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning
Shuangzhi Li
Junlong Shen
Lei Ma
Xingyu Li
3DPC
113
0
0
08 Mar 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
Gaurav Patel
Qiang Qiu
MU
97
1
0
08 Mar 2025
Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
Linqi Ye
Rankun Li
Xiaowen Hu
Jiayi Li
Boyang Xing
Yan Peng
Bin Liang
113
0
0
07 Mar 2025
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
Amin Karimi
Charalambos Poullis
VLM
126
0
0
06 Mar 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Louis McConnell
OODCML
104
0
0
06 Mar 2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
Jie Hao
Yuman Wu
Ali Payani
Myungjin Lee
Mingrui Liu
126
2
0
05 Mar 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
135
0
0
05 Mar 2025
AugFL: Augmenting Federated Learning with Pretrained Models
Sheng Yue
Zerui Qin
Yongheng Deng
Ju Ren
Yaoxue Zhang
Junshan Zhang
FedML
135
0
0
04 Mar 2025
Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic
Yang Li
S. Yuan
Yuan Chang
Xiaolong Chen
Qisong Yang
Zhiyong Yang
Hongmao Qin
93
0
0
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A Hypernetwork-Based Approach to KAN Representation of Audio Signals
A Hypernetwork-Based Approach to KAN Representation of Audio Signals
Patryk Marszałek
Maciej Rut
Piotr Kawa
Przemysław Spurek
P. Syga
143
0
0
04 Mar 2025
Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection
Muhammad Aqeel
Shakiba Sharifi
Marco Cristani
Francesco Setti
46
2
0
03 Mar 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLLVLM
95
1
0
02 Mar 2025
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models
Jeffrey Gu
Serena Yeung-Levy
AI4CE
70
1
0
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Asynchronous Personalized Federated Learning through Global Memorization
Fan Wan
Yongbin Li
Xueqi Qiu
Rui Sun
Lingling Zhang
Xingyu Miao
Tianyu Zhang
Haoran Duan
Yang Long
64
0
0
01 Mar 2025
Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning
Rickard Brännvall
FedML
92
0
0
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Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
Nanshan Deng
Weitao Zhou
Bo Zhang
Junze Wen
Kun Jiang
Zhong Cao
Ke Wang
57
0
0
28 Feb 2025
Online Meta-learning for AutoML in Real-time (OnMAR)
Online Meta-learning for AutoML in Real-time (OnMAR)
Mia Gerber
Anna Sergeevna Bosman
J. D. Villiers
OffRL
91
0
0
27 Feb 2025
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
Yating Yu
Congqi Cao
Yifan Zhang
Yanning Zhang
VLM
89
0
0
27 Feb 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
620
2
0
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Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks
Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks
Gianluca M Bencomo
Max Gupta
Ioana Marinescu
R. Thomas McCoy
Thomas L. Griffiths
AI4CE
387
0
0
27 Feb 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Jaehyeon Son
Soochan Lee
Gunhee Kim
OffRL
133
4
0
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Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
Michael Y. Hu
Jackson Petty
Chuan Shi
William Merrill
Tal Linzen
AI4CE
135
2
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26 Feb 2025
MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition
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Dongwei Xu
Yutao Zhu
Yao Lu
Youpeng Feng
Yun Lin
Qi Xuan
128
1
0
26 Feb 2025
ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration
ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration
Minjie Zhu
Yinlin Zhu
Jinming Li
Zhongyi Zhou
Junjie Wen
Xiaoyu Liu
Yaxin Peng
Chaomin Shen
Feifei Feng
LM&Ro
151
6
0
26 Feb 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge
Michael Lanier
Anindya Sarkar
Bengisu Guresti
Yevgeniy Vorobeychik
Chongjie Zhang
192
0
0
26 Feb 2025
Uncertainty Quantification in Retrieval Augmented Question Answering
Uncertainty Quantification in Retrieval Augmented Question Answering
Laura Perez-Beltrachini
Mirella Lapata
RALM
160
0
0
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CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
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Hirokazu Ishida
Naoki Hiraoka
K. Okada
Masayuki Inaba
122
1
0
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Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
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Ali Vefghi
Zahed Rahmati
Mohammad Akbari
OOD
50
0
0
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Teleology-Driven Affective Computing: A Causal Framework for Sustained Well-Being
Teleology-Driven Affective Computing: A Causal Framework for Sustained Well-Being
Bin Yin
Chong-Yi Liu
Liya Fu
Jinkun Zhang
AI4TS
84
1
0
24 Feb 2025
Contrastive Visual Data Augmentation
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Yu Zhou
B. Li
Mohan Tang
Xiaomeng Jin
Te-Lin Wu
Kuan-Hao Huang
Heng Ji
Kai-Wei Chang
Nanyun Peng
117
0
0
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MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
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Pranav Vaidhyanathan
Aristotelis Papatheodorou
Mark T. Mitchison
Natalia Ares
Ioannis Havoutis
PINNAI4CE
152
1
0
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Navigation-GPT: A Robust and Adaptive Framework Utilizing Large Language Models for Navigation Applications
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Feng Ma
Xiang Wang
Chen Chen
Xiao-bin Xu
Xin-ping Yan
474
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0
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Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
Chuanguang Yang
Xinqiang Yu
Han Yang
Zhulin An
Chengqing Yu
Libo Huang
Yongjun Xu
108
3
0
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Deep learning based infrared small object segmentation: Challenges and future directions
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Hongshan Yu
Jianjun Zhang
Qiang Tang
Ajmal Mian
225
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Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
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Fausto Giunchiglia
Lan Huang
Ximing Li
Xiaoyue Feng
Renchu Guan
89
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MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
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P. Cattin
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167
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Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
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Xin Li
Zhou Su
Jun Luo
185
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Task Aware Dreamer for Task Generalization in Reinforcement Learning
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Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
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223
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Learn2Mix: Training Neural Networks Using Adaptive Data Integration
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Vahid Tarokh
176
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A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning
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Shuangquan Lyu
Guiran Liu
Binrong Zhu
Hongye Zheng
Xiaoxuan Liao
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Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
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Mahardhika Pratama
Igor Skrjanc
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116
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Niels Leif Bracher
Guillaume Lajoie
P. Jaini
Marcus A. Brubaker
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Deep Learning in Automated Power Line Inspection: A Review
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Md. Ahasan Atick Faisal
Imene Mecheter
Yazan Qiblawey
Javier Hernandez Fernandez
M. E. Chowdhury
S. Kiranyaz
84
2
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Skill Expansion and Composition in Parameter Space
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Tenglong Liu
Junjie Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
129
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Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts
Roussel Desmond Nzoyem
Grant Stevens
Amarpal Sahota
David A.W. Barton
Tom Deakin
181
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0
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