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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
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image
  Sensors
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors
Haechang Lee
Dongwon Park
Wongi Jeong
Kijeong Kim
Hyunwoo Je
Dongil Ryu
S. Chun
79
9
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
FedMLAAML
125
286
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
176
7
0
20 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the
  Data-Scarce Edge
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
Young D. Kwon
Rui Li
Stylianos I. Venieris
Jagmohan Chauhan
Nicholas D. Lane
Cecilia Mascolo
65
9
0
19 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to
  Harness Spurious Features
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Cian Eastwood
Shashank Singh
Andrei Liviu Nicolicioiu
Marin Vlastelica
Julius von Kügelgen
Bernhard Schölkopf
OOD
116
20
0
19 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
David J. Wagg
K. Worden
AI4CE
94
6
0
19 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for
  Group-Structured Learning
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
Zachary B. Charles
Nicole Mitchell
Krishna Pillutla
Michael Reneer
Zachary Garrett
FedMLAI4CE
89
31
0
18 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data
Exploiting Field Dependencies for Learning on Categorical Data
Zhibin Li
Piotr Koniusz
Lu Zhang
D. Pagendam
Peyman Moghadam
54
4
0
18 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
FedMLAAML
105
21
0
18 Jul 2023
Towards Task Sampler Learning for Meta-Learning
Towards Task Sampler Learning for Meta-Learning
Wenwen Qiang
Jingyao Wang
Xingzhe Su
Changwen Zheng
Gang Hua
Hui Xiong
108
11
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
107
3
0
18 Jul 2023
Differentiable Transportation Pruning
Differentiable Transportation Pruning
Yun-qiang Li
Jan van Gemert
Torsten Hoefler
Bert Moons
E. Eleftheriou
Bram-Ernst Verhoef
OT
89
8
0
17 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
102
53
0
16 Jul 2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence
  Labeling
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling
Zifeng Cheng
Qingyu Zhou
Zhiwei Jiang
Xuemin Zhao
Yunbo Cao
Qing Gu
81
3
0
16 Jul 2023
Variational Prediction
Variational Prediction
Alexander A. Alemi
Ben Poole
BDL
70
2
0
14 Jul 2023
A scoping review on multimodal deep learning in biomedical images and
  texts
A scoping review on multimodal deep learning in biomedical images and texts
Zhaoyi Sun
Mingquan Lin
Qingqing Zhu
Qianqian Xie
Fei Wang
Zhiyong Lu
Yifan Peng
97
19
0
14 Jul 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior
  Distributions over Functions
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner
Tim G. J. Rudner
M. Reutlinger
Torsten Schindler
Garrett M. Morris
Charlotte M. Deane
Yee Whye Teh
OODBDL
55
10
0
14 Jul 2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML
TinyMetaFed: Efficient Federated Meta-Learning for TinyML
Haoyu Ren
Xue Li
Darko Anicic
Thomas Runkler
80
3
0
13 Jul 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and
  Unseen Contrasts using Meta-Learning Hypernetworks
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks
Sriprabha Ramanarayanan
Arun Palla
Keerthi Ram
M. Sivaprakasam
75
11
0
13 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
108
21
0
12 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with
  Dual Regulators
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Sikai Bai
Shuaicheng Li
Weiming Zhuang
Jie Zhang
Song Guo
Kunlin Yang
Jun Hou
Shuai Zhang
Junyu Gao
Shuai Yi
FedML
54
6
0
11 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
130
2
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
90
1
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
87
65
0
11 Jul 2023
Measuring and Mitigating Interference in Reinforcement Learning
Measuring and Mitigating Interference in Reinforcement Learning
Vincent Liu
Han Wang
Ruo Yu Tao
Khurram Javed
Adam White
Martha White
118
6
0
10 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
96
79
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
116
11
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
89
2
0
09 Jul 2023
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Class-Incremental Mixture of Gaussians for Deep Continual Learning
Lukasz Korycki
Bartosz Krawczyk
CLLBDL
58
1
0
09 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDLOOD
88
1
0
08 Jul 2023
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
Jia Pan
Stefan Falkner
Felix Berkenkamp
Joaquin Vanschoren
86
1
0
07 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised
  Few-Shot Classification & Segmentation
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
Dahyun Kang
Piotr Koniusz
Minsu Cho
Naila Murray
VLMViT
85
26
0
07 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
101
1
0
07 Jul 2023
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
P. JishnuJaykumar
Kamalesh Palanisamy
Yu-Wei Chao
Xinya Du
Yu Xiang
VLM
68
16
0
06 Jul 2023
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit
  for Purpose?
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose?
Luísa Shimabucoro
Timothy M. Hospedales
Henry Gouk
UQCVELM
77
0
0
06 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
77
3
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
87
3
0
05 Jul 2023
Task-Specific Alignment and Multiple Level Transformer for Few-Shot
  Action Recognition
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition
Fei-Yu Guo
Li Zhu
Yiwang Wang
Jing Sun
ViT
78
8
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
103
0
0
04 Jul 2023
Causal Reinforcement Learning: A Survey
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CMLLRM
115
17
0
04 Jul 2023
TablEye: Seeing small Tables through the Lens of Images
TablEye: Seeing small Tables through the Lens of Images
Seungeun Lee
Sang-Chul Lee
LMTD
59
1
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
KELMAI4CECLL
119
27
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
88
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
99
8
0
02 Jul 2023
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via
  Shape-Aware Representation
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation
Dewei Hu
Hao Li
Han Liu
Xing Yao
Jiacheng Wang
I. Oguz
MedIm
49
0
0
01 Jul 2023
Meta-training with Demonstration Retrieval for Efficient Few-shot
  Learning
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning
Aaron Mueller
Kanika Narang
Lambert Mathias
Qifan Wang
Hamed Firooz
RALM
79
3
0
30 Jun 2023
MARF: The Medial Atom Ray Field Object Representation
MARF: The Medial Atom Ray Field Object Representation
Peder Bergebakken Sundt
T. Theoharis
61
5
0
30 Jun 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
112
13
0
29 Jun 2023
Graph Sampling-based Meta-Learning for Molecular Property Prediction
Graph Sampling-based Meta-Learning for Molecular Property Prediction
Zhuang Xiang
Qiang Zhang
Bin Wu
Keyan Ding
Yin Fang
Hua-zeng Chen
58
14
0
29 Jun 2023
Elastically-Constrained Meta-Learner for Federated Learning
Elastically-Constrained Meta-Learner for Federated Learning
Peng Lan
Donglai Chen
Chong Xie
Keshu Chen
Jinyuan He
Juntao Zhang
Yonghong Chen
Yan Xu
FedML
65
0
0
29 Jun 2023
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