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Online Meta-Learning

Online Meta-Learning

22 February 2019
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
    CLL
ArXivPDFHTML

Papers citing "Online Meta-Learning"

43 / 43 papers shown
Title
CLIP-aware Domain-Adaptive Super-Resolution
CLIP-aware Domain-Adaptive Super-Resolution
Zhengyang Lu
Qian Xia
Weifan Wang
Feng Wang
SupR
16
0
0
18 May 2025
Learning to Learn with Quantum Optimization via Quantum Neural Networks
Learning to Learn with Quantum Optimization via Quantum Neural Networks
Kuan-Cheng Chen
Hiromichi Matsuyama
Wei-Hao Huang
32
1
0
01 May 2025
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Ruiqi Zhu
Endong Sun
Guanhe Huang
Oya Celiktutan
CLL
OnRL
65
0
0
24 Mar 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
Yuqing Yang
Xiao Lin
Zhipeng Zhao
SSL
89
9
0
28 Jan 2025
Task-driven Image Fusion with Learnable Fusion Loss
Task-driven Image Fusion with Learnable Fusion Loss
Haowen Bai
Jiangshe Zhang
Zixiang Zhao
Yichen Wu
Lilun Deng
Yukun Cui
Tao Feng
Shuang Xu
83
0
0
04 Dec 2024
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
65
0
0
31 Oct 2024
Multi-Task Dynamic Pricing in Credit Market with Contextual Information
Multi-Task Dynamic Pricing in Credit Market with Contextual Information
Adel Javanmard
Jingwei Ji
Renyuan Xu
39
1
0
18 Oct 2024
Online Nonconvex Bilevel Optimization with Bregman Divergences
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne
David Rosenberg
Gary Kazantsev
Pawel Polak
27
0
0
16 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
El Mahdi Chayti
Martin Jaggi
30
1
0
05 Sep 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning
Pausing Policy Learning in Non-stationary Reinforcement Learning
Hyunin Lee
Ming Jin
Javad Lavaei
Somayeh Sojoudi
OffRL
37
2
0
25 May 2024
Meta Learning in Bandits within Shared Affine Subspaces
Meta Learning in Bandits within Shared Affine Subspaces
Steven Bilaj
Sofien Dhouib
S. Maghsudi
39
2
0
31 Mar 2024
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning
Haowen Bai
Zixiang Zhao
Jiangshe Zhang
Yichen Wu
Lilun Deng
Yukun Cui
Shuang Xu
Baisong Jiang
40
6
0
13 Dec 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zhenrui Yue
Huimin Zeng
Mengfei Lan
Heng Ji
D. Wang
VLM
26
14
0
27 May 2023
A Mechanism for Sample-Efficient In-Context Learning for Sparse
  Retrieval Tasks
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks
Jacob D. Abernethy
Alekh Agarwal
T. V. Marinov
Manfred K. Warmuth
26
17
0
26 May 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
47
4
0
20 Mar 2023
Approximately optimal domain adaptation with Fisher's Linear
  Discriminant
Approximately optimal domain adaptation with Fisher's Linear Discriminant
Hayden S. Helm
Ashwin De Silva
Joshua T. Vogelstein
Carey E. Priebe
Weiwei Yang
31
2
0
27 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou
Pierre Alquier
Badr-Eddine Chérief-Abdellatif
43
8
0
23 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
50
0
0
04 Feb 2023
Restricted Orthogonal Gradient Projection for Continual Learning
Restricted Orthogonal Gradient Projection for Continual Learning
Zeyuan Yang
Zonghan Yang
Peng Li
Yang Liu
CLL
29
4
0
28 Jan 2023
Time-Varying Propensity Score to Bridge the Gap between the Past and
  Present
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor
Jonas W. Mueller
Zachary Chase Lipton
Pratik Chaudhari
Alexander J. Smola
OOD
AI4TS
32
3
0
04 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
34
6
0
03 Oct 2022
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty
Joshua Ott
Sung-Kyun Kim
Amanda Bouman
Oriana Peltzer
Mamoru Sobue
Harrison Delecki
Mykel J. Kochenderfer
J. W. Burdick
Ali-akbar Agha-mohammadi
48
6
0
12 Sep 2022
Meta-Learning Online Control for Linear Dynamical Systems
Meta-Learning Online Control for Linear Dynamical Systems
Deepan Muthirayan
D. Kalathil
Pramod P. Khargonekar
32
6
0
18 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
47
10
0
06 Jul 2022
Landscape Learning for Neural Network Inversion
Landscape Learning for Neural Network Inversion
Ruoshi Liu
Chen-Guang Mao
Purva Tendulkar
Hongya Wang
Carl Vondrick
35
8
0
17 Jun 2022
Online Deep Learning from Doubly-Streaming Data
Online Deep Learning from Doubly-Streaming Data
H. Lian
John Scovil Atwood
Bo-Jian Hou
Jian Wu
Yi He
21
10
0
25 Apr 2022
Meta-Learning for Online Update of Recommender Systems
Meta-Learning for Online Update of Recommender Systems
Minseok Kim
Hwanjun Song
Yooju Shin
Dongmin Park
Kijung Shin
Jae-Gil Lee
KELM
13
18
0
19 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture
  Search for Few-Shot Learning
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Haoxiang Wang
Yite Wang
Ruoyu Sun
Bo-wen Li
29
27
0
17 Mar 2022
A Meta-learning Approach to Reservoir Computing: Time Series Prediction
  with Limited Data
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data
D. Canaday
Andrew Pomerance
M. Girvan
AI4TS
23
1
0
07 Oct 2021
Towards a theory of out-of-distribution learning
Towards a theory of out-of-distribution learning
Jayanta Dey
Ali Geisa
Ronak D. Mehta
Tyler M. Tomita
Hayden S. Helm
Haoyin Xu
Eric Eaton
Jeffery Dick
Carey E. Priebe
Joshua T. Vogelstein
OOD
33
20
0
29 Sep 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and
  Equalization
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
23
12
0
02 Aug 2021
On the Power of Multitask Representation Learning in Linear MDP
On the Power of Multitask Representation Learning in Linear MDP
Rui Lu
Gao Huang
S. Du
27
28
0
15 Jun 2021
Towards mental time travel: a hierarchical memory for reinforcement
  learning agents
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Andrea Banino
Felix Hill
24
47
0
28 May 2021
Efficient Continual Learning with Modular Networks and Task-Driven
  Priors
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Véniat
Ludovic Denoyer
MarcÁurelio Ranzato
CLL
30
97
0
23 Dec 2020
Online Structured Meta-learning
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Z. Li
R. Socher
Caiming Xiong
44
28
0
22 Oct 2020
Meta Continual Learning via Dynamic Programming
Meta Continual Learning via Dynamic Programming
R. Krishnan
Prasanna Balaprakash
CLL
22
10
0
05 Aug 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis
  and Application to Actor-Critic
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
Mingyi Hong
Hoi-To Wai
Zhaoran Wang
Zhuoran Yang
18
134
0
10 Jul 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
26
44
0
11 Jun 2020
Continuous Meta-Learning without Tasks
Continuous Meta-Learning without Tasks
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLL
OOD
22
79
0
18 Dec 2019
Learning to Interactively Learn and Assist
Learning to Interactively Learn and Assist
Mark P. Woodward
Chelsea Finn
Karol Hausman
21
33
0
24 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods
Adaptive Gradient-Based Meta-Learning Methods
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
33
353
0
06 Jun 2019
Self-Net: Lifelong Learning via Continual Self-Modeling
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp
J. Mandivarapu
Rolando Estrada
CLL
SSL
27
16
0
25 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,684
0
09 Mar 2017
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