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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
ArXivPDFHTML

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 2,174 papers shown
Title
JoinGym: An Efficient Query Optimization Environment for Reinforcement
  Learning
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
Kaiwen Wang
Junxiong Wang
Yueying Li
Nathan Kallus
Immanuel Trummer
Wen Sun
GP
52
2
0
21 Jul 2023
A Definition of Continual Reinforcement Learning
A Definition of Continual Reinforcement Learning
David Abel
André Barreto
Benjamin Van Roy
Doina Precup
H. V. Hasselt
Satinder Singh
CLL
41
74
0
20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
44
250
0
20 Jul 2023
Nonlinear Meta-Learning Can Guarantee Faster Rates
Nonlinear Meta-Learning Can Guarantee Faster Rates
Dimitri Meunier
Zhu Li
Arthur Gretton
Samory Kpotufe
30
6
0
20 Jul 2023
Towards a population-informed approach to the definition of data-driven
  models for structural dynamics
Towards a population-informed approach to the definition of data-driven models for structural dynamics
G. Tsialiamanis
N. Dervilis
D. Wagg
K. Worden
AI4CE
38
5
0
19 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning
FedDefender: Client-Side Attack-Tolerant Federated Learning
Sungwon Park
Sungwon Han
Fangzhao Wu
Sundong Kim
Bin Zhu
Xing Xie
Meeyoung Cha
FedML
AAML
31
20
0
18 Jul 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
Towards the Sparseness of Projection Head in Self-Supervised Learning
Changwen Zheng
Xingzhe Su
Wenwen Qiang
Jingyao Wang
Changwen Zheng
Gang Hua
38
3
0
18 Jul 2023
Variational Prediction
Variational Prediction
Alexander A. Alemi
Ben Poole
BDL
24
2
0
14 Jul 2023
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
32
19
0
12 Jul 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced
  Transfer in Deep Reinforcement Learning
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran
Mohamad H. Danesh
Stefano V. Albrecht
Sarah Keren
AI4CE
40
1
0
11 Jul 2023
Writer adaptation for offline text recognition: An exploration of neural
  network-based methods
Writer adaptation for offline text recognition: An exploration of neural network-based methods
Tobias van der Werff
Maruf A. Dhali
Lambert Schomaker
49
0
0
11 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
36
59
0
11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
34
70
0
10 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A
  Survey
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
44
9
0
10 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained
  Language Models?
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
52
2
0
09 Jul 2023
Stability and Generalization of Stochastic Compositional Gradient
  Descent Algorithms
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Minghao Yang
Xiyuan Wei
Tianbao Yang
Yiming Ying
50
1
0
07 Jul 2023
Meta-Learning Adversarial Bandit Algorithms
Meta-Learning Adversarial Bandit Algorithms
M. Khodak
Ilya Osadchiy
Keegan Harris
Maria-Florina Balcan
Kfir Y. Levy
Ron Meir
Zhiwei Steven Wu
FedML
30
2
0
05 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Shiyu Liu
Shaogao Lv
Dun Zeng
Zenglin Xu
Hongya Wang
Yue Yu
FedML
33
3
0
05 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification
LPN: Language-guided Prototypical Network for few-shot classification
Kaihui Cheng
Chule Yang
Xiao Liu
Naiyang Guan
Zhiyuan Wang
47
0
0
04 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting
Improving Language Plasticity via Pretraining with Active Forgetting
Yihong Chen
Kelly Marchisio
Roberta Raileanu
David Ifeoluwa Adelani
Pontus Stenetorp
Sebastian Riedel
Mikel Artetx
KELM
AI4CE
CLL
37
24
0
03 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian
  Learning
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Shengbo Wang
Ke Li
Yin Yang
Yuting Cao
Tingwen Huang
S. Wen
25
4
0
03 Jul 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal
  Data
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data
Xinzhe Li
Ming Liu
Shang Gao
MU
45
8
0
02 Jul 2023
Could Small Language Models Serve as Recommenders? Towards Data-centric
  Cold-start Recommendations
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
Xuansheng Wu
Huachi Zhou
Yucheng Shi
Wenlin Yao
Xiao Shi Huang
Ninghao Liu
LRM
40
8
0
29 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning
A First Order Meta Stackelberg Method for Robust Federated Learning
Yunian Pan
Tao Li
Henger Li
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
35
10
0
23 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
45
17
0
20 Jun 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Ye Wang
Yaxiong Wang
Guoshuai Zhao
Xueming Qian
CLL
36
1
0
19 Jun 2023
AdaSelection: Accelerating Deep Learning Training through Data
  Subsampling
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
Minghe Zhang
Chaosheng Dong
Jinmiao Fu
Tianchen Zhou
Jia Liang
...
Bo Liu
Michinari Momma
Bryan Wang
Yan Gao
Yi Sun
37
3
0
19 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks
Meta-Learning for Airflow Simulations with Graph Neural Networks
Wenzhuo Liu
Mouadh Yagoubi
Marc Schoenauer
AI4CE
29
0
0
18 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data
  Augmentation
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou
Xiao Shi Huang
Ninghao Liu
Huachi Zhou
F. Chung
Longhai Huang
47
23
0
18 Jun 2023
Differentiable Instruction Optimization for Cross-Task Generalization
Differentiable Instruction Optimization for Cross-Task Generalization
Masaru Isonuma
Junichiro Mori
Ichiro Sakata
29
0
0
16 Jun 2023
Structured Cooperative Learning with Graphical Model Priors
Structured Cooperative Learning with Graphical Model Priors
Shuang-Yang Li
Dinesh Manocha
Xinmei Tian
Dacheng Tao
38
0
0
16 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark
FewSAR: A Few-shot SAR Image Classification Benchmark
Rui Zhang
Ziqi Wang
Yong Li
Jiabao Wang
Zhiteng Wang
20
1
0
16 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
34
6
0
15 Jun 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles
Zhongying CuiZhu
François Charette
A. Ghafourian
Debo Shi
Matthew Cui
Anjali Krishnamachar
I. S. Bozchalooi
37
1
0
15 Jun 2023
Modular Controllers Facilitate the Co-Optimization of Morphology and
  Control in Soft Robots
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots
Alican Mertan
Nick Cheney
32
6
0
12 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Emilie Grégoire
M. H. Chaudhary
Sam Verboven
26
1
0
07 Jun 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation
ColdNAS: Search to Modulate for User Cold-Start Recommendation
Shiguang Wu
Yaqing Wang
Qinghe Jing
Daxiang Dong
Dejing Dou
Quanming Yao
25
7
0
06 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local
  Hypergradient Estimation
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh
Mingchen Li
Pranay Sharma
Samet Oymak
34
0
0
02 Jun 2023
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement
Long Ma
Dian Jin
Nan An
Jinyuan Liu
Xin-Yue Fan
Risheng Liu
43
48
0
02 Jun 2023
Deep Reinforcement Learning Framework for Thoracic Diseases
  Classification via Prior Knowledge Guidance
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance
Weizhi Nie
Chen Zhang
Dan Song
Lina Zhao
Yunpeng Bai
Keliang Xie
Anan Liu
36
0
0
02 Jun 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
43
18
0
31 May 2023
Offline Meta Reinforcement Learning with In-Distribution Online
  Adaptation
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
Jianhao Wang
Jin Zhang
Haozhe Jiang
Junyu Zhang
Liwei Wang
Chongjie Zhang
OffRL
26
9
0
31 May 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs
Yi Sun
Xin Xu
Jian Li
Xiaochang Hu
Yifei Shi
L. Zeng
37
2
0
31 May 2023
Joint Optimization of Class-Specific Training- and Test-Time Data
  Augmentation in Segmentation
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
Zeju Li
Konstantinos Kamnitsas
Qi Dou
C. Qin
Ben Glocker
21
6
0
30 May 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot
  Learning
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
Tao Zhang
Wu Huang
24
2
0
30 May 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt
  Learning for Few-shot Weakly-supervised Whole Slide Image Classification
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Linhao Qu
X. Luo
Kexue Fu
Manning Wang
Zhijian Song
43
22
0
29 May 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors
  on CT Scans
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans
Zi Chen
Jiazheng Li
Jie Zhao
Yiting Liu
Hongfeng Li
Bin Dong
Lei Tang
Li Zhang
25
1
0
29 May 2023
Toward Fine Contact Interactions: Learning to Control Normal Contact
  Force with Limited Information
Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information
Jinda Cui
Jiawei Xu
David Saldaña
J. Trinkle
21
2
0
29 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
52
7
0
28 May 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
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