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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 / 1,990 papers shown
Title
An Empirical Framework for Domain Generalization in Clinical Settings
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
26
59
0
20 Mar 2021
Learning the solution operator of parametric partial differential
  equations with physics-informed DeepOnets
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
Sizhuang He
Hanwen Wang
P. Perdikaris
AI4CE
40
667
0
19 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
33
23
0
17 Mar 2021
Robust MAML: Prioritization task buffer with adaptive learning process
  for model-agnostic meta-learning
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Thanh Nguyen
Tung M. Luu
T. Pham
Sanzhar Rakhimkul
Chang D. Yoo
22
10
0
15 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu
Tu Zheng
Mingli Song
Deng Cai
Xiaofei He
38
25
0
15 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with
  Self-supervision
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li
Renshuai Tao
Jun Li
Haotong Qin
Yifu Ding
Shuo Wang
Xianglong Liu
SSL
27
8
0
10 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Chi Zhang
45
370
0
10 Mar 2021
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in
  Brain-Computer-Interfacing
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing
Denghao Li
Pablo Ortega
Xia Wei
Aldo A. Faisal
27
19
0
10 Mar 2021
SMIL: Multimodal Learning with Severely Missing Modality
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma
Jian Ren
Long Zhao
Sergey Tulyakov
Cathy H. Wu
Xi Peng
49
239
0
09 Mar 2021
Convergence and Accuracy Trade-Offs in Federated Learning and
  Meta-Learning
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
Zachary B. Charles
Jakub Konecný
FedML
26
63
0
08 Mar 2021
Personalized Federated Learning using Hypernetworks
Personalized Federated Learning using Hypernetworks
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
41
324
0
08 Mar 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for
  Unsupervised Person Re-Identification
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
Fengxiang Yang
Zhun Zhong
Zhiming Luo
Yuanzheng Cai
Yaojin Lin
Shaozi Li
N. Sebe
NoLa
27
111
0
08 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
37
70
0
07 Mar 2021
MetaView: Few-shot Active Object Recognition
MetaView: Few-shot Active Object Recognition
Wei Wei
Haonan Yu
Haichao Zhang
Wenyuan Xu
Ying Nian Wu
34
4
0
07 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
34
41
0
05 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GAN
DRL
18
6
0
05 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
36
174
0
05 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Shunyu Jiang
Fuli Feng
Weijia Chen
Xiang Li
Xiangnan He
25
18
0
05 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
Learning Invariant Representations across Domains and Tasks
Learning Invariant Representations across Domains and Tasks
Jindong Wang
Wenjie Feng
Chang-Shu Liu
Chaohui Yu
Min Du
Renjun Xu
Tao Qin
Tie-Yan Liu
OOD
28
3
0
03 Mar 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine
  Translation
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan
Xuebo Liu
Derek F. Wong
Lidia S. Chao
35
46
0
03 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
40
77
0
03 Mar 2021
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind
  Conditions
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions
Michael O'Connell
Guanya Shi
Xichen Shi
Soon-Jo Chung
31
22
0
02 Mar 2021
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive
  Sensing
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing
Zhengjue Wang
Hao Zhang
Ziheng Cheng
Bo Chen
Xin Yuan
21
50
0
02 Mar 2021
Learning with Hyperspherical Uniformity
Learning with Hyperspherical Uniformity
Weiyang Liu
Rongmei Lin
Zhen Liu
Li Xiong
Bernhard Schölkopf
Adrian Weller
37
35
0
02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,177
0
02 Mar 2021
Fast Adaptation with Linearized Neural Networks
Fast Adaptation with Linearized Neural Networks
Wesley J. Maddox
Shuai Tang
Pablo G. Moreno
A. Wilson
Andreas C. Damianou
32
32
0
02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
41
108
0
01 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
41
84
0
01 Mar 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
841
0
01 Mar 2021
Neuron Coverage-Guided Domain Generalization
Neuron Coverage-Guided Domain Generalization
Chris Xing Tian
Haoliang Li
Xiaofei Xie
Yang Liu
Shiqi Wang
23
35
0
27 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
37
76
0
25 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Victor Campos
Pablo Sprechmann
Steven Hansen
André Barreto
Steven Kapturowski
Alex Vitvitskyi
Adria Puigdomenech Badia
Charles Blundell
OffRL
OnRL
38
25
0
24 Feb 2021
Dual-Awareness Attention for Few-Shot Object Detection
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen
Yueh-Cheng Liu
Hung-Ting Su
Yu-Cheng Chang
Yu-Hsiang Lin
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
35
96
0
24 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Rajagopal Setlur
Oscar Li
Virginia Smith
38
13
0
23 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding
Qinghai Zhou
Hanghang Tong
Huan Liu
48
123
0
22 Feb 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed
  Environments
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang
J. Inala
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
Martin Rinard
42
12
0
22 Feb 2021
Fast On-Device Adaptation for Spiking Neural Networks via
  Online-Within-Online Meta-Learning
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning
Bleema Rosenfeld
Bipin Rajendran
Osvaldo Simeone
OffRL
33
9
0
21 Feb 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic
  Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Tsui-Wei Weng
Chuang Gan
Meng Wang
AAML
21
47
0
20 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference
Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang
Robin Walters
Rose Yu
OOD
AI4TS
AI4CE
29
31
0
20 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal
  Optimization Techniques
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely
Boxin Zhao
Mladen Kolar
FedML
27
52
0
19 Feb 2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Yi-Syuan Chen
Hong-Han Shuai
CLL
OffRL
48
38
0
18 Feb 2021
Few-shot Conformal Prediction with Auxiliary Tasks
Few-shot Conformal Prediction with Auxiliary Tasks
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
184
53
0
17 Feb 2021
Federated Evaluation and Tuning for On-Device Personalization: System
  Design & Applications
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
183
126
0
16 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems
A Survey of Machine Learning for Computer Architecture and Systems
Nan Wu
Yuan Xie
AI4TS
AI4CE
20
145
0
16 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
Wenhao Yu
John E. Herr
Olaf Wiest
Meng Jiang
Nitesh V. Chawla
AI4CE
119
171
0
16 Feb 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via
  Double-Momentum
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri
Siliang Zeng
Mingyi Hong
Hoi-To Wai
Zhaoran Wang
Zhuoran Yang
17
129
0
15 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous
  Agents via Personalized Simulators
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal
Abdullah Alomar
Varkey Alumootil
Devavrat Shah
Dennis Shen
Zhi Xu
Cindy Yang
OffRL
18
18
0
13 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform
  Stability
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid
Anirudha Majumdar
27
34
0
12 Feb 2021
Biomedical Question Answering: A Survey of Approaches and Challenges
Biomedical Question Answering: A Survey of Approaches and Challenges
Qiao Jin
Zheng Yuan
Guangzhi Xiong
Qian Yu
Huaiyuan Ying
Chuanqi Tan
Mosha Chen
Songfang Huang
Xiaozhong Liu
Sheng Yu
26
95
0
10 Feb 2021
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