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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
MARS: Meta-Learning as Score Matching in the Function Space
MARS: Meta-Learning as Score Matching in the Function Space
Krunoslav Lehman Pavasovic
Jonas Rothfuss
Andreas Krause
BDL
100
5
0
24 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
116
38
0
24 Oct 2022
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward
  Trustworthy Estimation of Theory-Driven Models
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
Naoya Takeishi
Alexandros Kalousis
AAML
94
3
0
24 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic
  Disorders
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Ömer Sümer
Fabio Hellmann
Alexander Hustinx
Tzung-Chien Hsieh
Elisabeth André
P. Krawitz
CVBM
82
7
0
23 Oct 2022
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed
  Neural Networks
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
Shibo Li
Michael Penwarden
Yiming Xu
Conor Tillinghast
Akil Narayan
Robert M. Kirby
Shandian Zhe
AI4CE
99
4
0
23 Oct 2022
MetaEMS: A Meta Reinforcement Learning-based Control Framework for
  Building Energy Management System
MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System
Huiliang Zhang
Di Wu
Benoit Boulet
78
6
0
23 Oct 2022
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model
  Predictive Control
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Alessandro Saviolo
Jonathan Frey
Abhishek Rathod
Moritz Diehl
Giuseppe Loianno
125
27
0
23 Oct 2022
Compressing multidimensional weather and climate data into neural
  networks
Compressing multidimensional weather and climate data into neural networks
La-mei Huang
Torsten Hoefler
AI4CE
128
34
0
22 Oct 2022
Deep domain adaptation for polyphonic melody extraction
Kavya Ranjan Saxena
Vipul Arora
75
0
0
22 Oct 2022
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding
  Object Articulations from Interactions
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions
Keita Ota
H. Tung
Kevin A. Smith
A. Cherian
Tim K. Marks
Alan Sullivan
Asako Kanezaki
J. Tenenbaum
65
3
0
22 Oct 2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Fanghua Ye
Xi Wang
Jie Huang
Shenghui Li
Sam Stern
Emine Yilmaz
59
9
0
22 Oct 2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
Yohan Jung
Jinkyoo Park
BDL
63
0
0
22 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware
  Prototypical Networks
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish
Kawshik Kannan
Nabila Abraham
Anasuya Das
Benjamin Odry
VLM
75
0
0
22 Oct 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
Yanjun Qi
Han Sun
Ningzhong Liu
Huiyu Zhou
83
9
0
22 Oct 2022
Continual Vision-based Reinforcement Learning with Group Symmetries
Continual Vision-based Reinforcement Learning with Group Symmetries
Shiqi Liu
Mengdi Xu
Piede Huang
Yongkang Liu
K. Oguchi
Ding Zhao
CLLVLM
123
13
0
21 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical
  Latent Variables
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
...
Kuan-Hui Lee
Xuewei Qi
Henry Lam
Yue Liu
Ding Zhao
OOD
115
9
0
21 Oct 2022
Low-Resource Multilingual and Zero-Shot Multispeaker TTS
Low-Resource Multilingual and Zero-Shot Multispeaker TTS
Florian Lux
Julia Koch
Ngoc Thang Vu
107
23
0
21 Oct 2022
Graph Few-shot Learning with Task-specific Structures
Graph Few-shot Learning with Task-specific Structures
Song Wang
Chen Chen
Jundong Li
95
24
0
21 Oct 2022
Query Semantic Reconstruction for Background in Few-Shot Segmentation
Query Semantic Reconstruction for Background in Few-Shot Segmentation
Haoyan Guan
Michael W. Spratling
74
3
0
21 Oct 2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
On-Device Model Fine-Tuning with Label Correction in Recommender Systems
Yucheng Ding
Chaoyue Niu
Fan Wu
Shaojie Tang
Chengfei Lyu
Guihai Chen
36
2
0
21 Oct 2022
CobNet: Cross Attention on Object and Background for Few-Shot
  Segmentation
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation
Haoyan Guan
Michael W. Spratling
65
0
0
21 Oct 2022
$m^4Adapter$: Multilingual Multi-Domain Adaptation for Machine
  Translation with a Meta-Adapter
m4Adapterm^4Adapterm4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter
Wen Lai
Alexandra Chronopoulou
Alexander Fraser
80
3
0
21 Oct 2022
Boosting Natural Language Generation from Instructions with
  Meta-Learning
Boosting Natural Language Generation from Instructions with Meta-Learning
Budhaditya Deb
Guoqing Zheng
Ahmed Hassan Awadallah
72
16
0
20 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Haotian Fu
Shangqun Yu
Michael Littman
George Konidaris
BDLOffRL
91
13
0
20 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Zhengchao Wan
OOD
77
4
0
20 Oct 2022
Hypernetworks in Meta-Reinforcement Learning
Hypernetworks in Meta-Reinforcement Learning
Jacob Beck
Matthew Jackson
Risto Vuorio
Shimon Whiteson
OffRL
84
30
0
20 Oct 2022
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
Mohamed Afham
Ranga Rodrigo
VLM
142
5
0
20 Oct 2022
Incorporating Relevance Feedback for Information-Seeking Retrieval using
  Few-Shot Document Re-Ranking
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
Tim Baumgärtner
Leonardo F. R. Ribeiro
Nils Reimers
Iryna Gurevych
86
6
0
19 Oct 2022
Learning Transferable Adversarial Robust Representations via Multi-view
  Consistency
Learning Transferable Adversarial Robust Representations via Multi-view Consistency
Minseon Kim
Hyeonjeong Ha
Dong Bok Lee
Sung Ju Hwang
69
0
0
19 Oct 2022
LAVA: Label-efficient Visual Learning and Adaptation
LAVA: Label-efficient Visual Learning and Adaptation
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
VLM
86
1
0
19 Oct 2022
Forging Multiple Training Objectives for Pre-trained Language Models via
  Meta-Learning
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning
Hongqiu Wu
Ruixue Ding
Haizhen Zhao
Boli Chen
Pengjun Xie
Fei Huang
Min Zhang
MoMe
97
8
0
19 Oct 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability
Continued Pretraining for Better Zero- and Few-Shot Promptability
Zhaofeng Wu
IV RobertL.Logan
Pete Walsh
Akshita Bhagia
Dirk Groeneveld
Sameer Singh
Iz Beltagy
VLM
108
12
0
19 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu
Shekhor Chanda
M. Hosseinzadeh
Zhi Liu
Yang Wang
VLM
105
8
0
18 Oct 2022
Transfer learning with affine model transformation
Transfer learning with affine model transformation
Shunya Minami
Kenji Fukumizu
Yoshihiro Hayashi
Ryo Yoshida
69
1
0
18 Oct 2022
Simple Emergent Action Representations from Multi-Task Policy Training
Simple Emergent Action Representations from Multi-Task Policy Training
Pu Hua
Yubei Chen
Huazhe Xu
MLAU
63
7
0
18 Oct 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot
  Named Entity Recognition
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
Jiadong Wang
Chengcheng Han
Chengyu Wang
Chuanqi Tan
Minghui Qiu
Songfang Huang
Jun Huang
Ming Gao
78
23
0
17 Oct 2022
Improving Object-centric Learning with Query Optimization
Improving Object-centric Learning with Query Optimization
Baoxiong Jia
Yu Liu
Siyuan Huang
OCL
97
52
0
17 Oct 2022
Meta-Learning via Classifier(-free) Diffusion Guidance
Meta-Learning via Classifier(-free) Diffusion Guidance
Elvis Nava
Seijin Kobayashi
Yifei Yin
Robert K. Katzschmann
Benjamin Grewe
VLM
73
6
0
17 Oct 2022
You Only Live Once: Single-Life Reinforcement Learning
You Only Live Once: Single-Life Reinforcement Learning
Annie S. Chen
Archit Sharma
Sergey Levine
Chelsea Finn
OffRL
65
20
0
17 Oct 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal
  Knowledge Graphs
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
Ruijie Wang
Zheng Li
Dachun Sun
Shengzhong Liu
Jinning Li
Bing Yin
Tarek Abdelzaher
OffRL
83
44
0
16 Oct 2022
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge
  Devices
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices
Yimeng Zhang
A. Kamath
Qiucheng Wu
Zhiwen Fan
Wuyang Chen
Zhangyang Wang
Shiyu Chang
Sijia Liu
Cong Hao
83
6
0
16 Oct 2022
Prediction Calibration for Generalized Few-shot Semantic Segmentation
Prediction Calibration for Generalized Few-shot Semantic Segmentation
Zhihe Lu
Sen He
Da Li
Yi-Zhe Song
Tao Xiang
ViT
71
26
0
15 Oct 2022
RAPS: A Novel Few-Shot Relation Extraction Pipeline with
  Query-Information Guided Attention and Adaptive Prototype Fusion
RAPS: A Novel Few-Shot Relation Extraction Pipeline with Query-Information Guided Attention and Adaptive Prototype Fusion
Yuzhe Zhang
M. Cen
Tong Wu
Kuanqi Cai
59
1
0
15 Oct 2022
Meta Transferring for Deblurring
Meta Transferring for Deblurring
Po-Sheng Liu
Fu-Jen Tsai
Yanbin Peng
Chung-Chi Tsai
Chia-Wen Lin
Yen-Yu Lin
42
2
0
14 Oct 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
56
0
0
14 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for
  Domain Generalization
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen
Luyao Tang
Feng Liu
Gangming Zhao
Yue Huang
Yizhou Yu
105
32
0
14 Oct 2022
Meta-learning Based Short-Term Passenger Flow Prediction for
  Newly-Operated Urban Rail Transit Stations
Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations
Kuo Han
Jinlei Zhang
Chunqi Zhu
Lixing Yang
Xiaoyu Huang
Songsong Li
AI4TS
56
2
0
13 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
Anurag Roy
David Johnson Ekka
Saptarshi Ghosh
Abir Das
51
1
0
13 Oct 2022
Multi-Task Meta Learning: learn how to adapt to unseen tasks
Multi-Task Meta Learning: learn how to adapt to unseen tasks
Richa Upadhyay
Prakash Chandra Chhipa
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
75
11
0
13 Oct 2022
Improving the Reliability for Confidence Estimation
Improving the Reliability for Confidence Estimation
Haoxuan Qu
Yanchao Li
Lin Geng Foo
Jason Kuen
Jiuxiang Gu
Jun Liu
UQCV
66
10
0
13 Oct 2022
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