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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
Deep Learning for Time Series Anomaly Detection: A Survey
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban
G. I. Webb
Shirui Pan
Charu C. Aggarwal
Mahsa Salehi
AI4TS
84
162
0
09 Nov 2022
Few-Shot Character Understanding in Movies as an Assessment to
  Meta-Learning of Theory-of-Mind
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Mo Yu
Qiujing Wang
Shunchi Zhang
Yisi Sang
Kangsheng Pu
...
Han Wang
Liyan Xu
Jing Li
Yue Yu
Jie Zhou
89
20
0
09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Xue Yu
Ziyi Liu
Wu Wang
Yifan Sun
FedML
88
9
0
08 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
108
4
0
08 Nov 2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial
  Vehicles: A Contemporary Survey
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
Harrison Kurunathan
Hailong Huang
Kai Li
Wei Ni
Ekram Hossain
72
78
0
07 Nov 2022
A Survey on Quantum Reinforcement Learning
A Survey on Quantum Reinforcement Learning
Nico Meyer
Christian Ufrecht
Maniraman Periyasamy
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
AI4CELRM
108
61
0
07 Nov 2022
Closing the Gap between Client and Global Model Performance in
  Heterogeneous Federated Learning
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning
Hongrui Shi
Valentin Radu
Po Yang
FedML
33
1
0
07 Nov 2022
Reward-Predictive Clustering
Reward-Predictive Clustering
Lucas Lehnert
M. Frank
Michael L. Littman
OffRL
66
0
0
07 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
Dominik Filipiak
A. Fensel
A. Filipowska
72
1
0
06 Nov 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion
  Forecasting
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Parth Kothari
Danyang Li
Yuejiang Liu
Alexandre Alahi
TTAAI4TS
113
16
0
06 Nov 2022
Enabling Deep Learning-based Physical-layer Secret Key Generation for
  FDD-OFDM Systems in Multi-Environments
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
Xinwei Zhang
Guyue Li
Junqing Zhang
Linning Peng
A. Hu
Xianbin Wang
68
11
0
06 Nov 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek Abdelzaher
Jiawei Han
VLM
120
49
0
06 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching
Learning to Annotate Part Segmentation with Gradient Matching
Yu Yang
Xiaotian Cheng
Hakan Bilen
Xiangyang Ji
GAN
96
7
0
06 Nov 2022
Learning to Learn Domain-invariant Parameters for Domain Generalization
Learning to Learn Domain-invariant Parameters for Domain Generalization
Feng Hou
Yao Zhang
Yang Liu
Jin Yuan
Cheng Zhong
Yang Zhang
Zhongchao Shi
Jianping Fan
Zhiqiang He
OOD
83
4
0
04 Nov 2022
FedGen: Generalizable Federated Learning for Sequential Data
FedGen: Generalizable Federated Learning for Sequential Data
Praveen Venkateswaran
Vatche Isahagian
Vinod Muthusamy
N. Venkatasubramanian
OODFedML
66
11
0
03 Nov 2022
Faster Adaptive Momentum-Based Federated Methods for Distributed
  Composition Optimization
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization
Feihu Huang
FedML
92
1
0
03 Nov 2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Tian Qin
Alex Beatson
Deniz Oktay
N. McGreivy
Ryan P. Adams
AI4CE
78
10
0
03 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples
Robust Few-shot Learning Without Using any Adversarial Samples
Gaurav Kumar Nayak
Ruchit Rawal
Inder Khatri
Anirban Chakraborty
AAML
58
2
0
03 Nov 2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for
  Few-shot Segmentation
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation
Kai-Qi Huang
Mingfei Cheng
Yang Wang
Bochen Wang
Ye Xi
Feigege Wang
Peng Chen
74
2
0
02 Nov 2022
Fast Adaptive Federated Bilevel Optimization
Fast Adaptive Federated Bilevel Optimization
Feihu Huang
FedML
108
7
0
02 Nov 2022
Spatial Reasoning for Few-Shot Object Detection
Spatial Reasoning for Few-Shot Object Detection
Geonuk Kim
Ho-Choul Jung
Seong-Whan Lee
ObjD
68
34
0
02 Nov 2022
DynamicLight: Two-Stage Dynamic Traffic Signal Timing
DynamicLight: Two-Stage Dynamic Traffic Signal Timing
Liang Zhang
Yutong Zhang
Shubin Xie
J. Deng
Chen Li
51
0
0
02 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive
  Multi-Distance Perspective
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Jinxiang Lai
Siqian Yang
Guannan Jiang
Xi-Zhao Wang
Yuxi Li
...
Jing Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
92
7
0
02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
tSF: Transformer-based Semantic Filter for Few-Shot Learning
Jinxiang Lai
Siqian Yang
Wenlong Liu
Yi Zeng
Zhongyi Huang
Wenlong Wu
Jun Liu
Bin-Bin Gao
Chengjie Wang
VLM
71
19
0
02 Nov 2022
A Meta-GNN approach to personalized seizure detection and classification
A Meta-GNN approach to personalized seizure detection and classification
Abdellah Rahmani
Arun Venkitaraman
P. Frossard
70
14
0
01 Nov 2022
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks
Rochelle Choenni
Dan Garrette
Ekaterina Shutova
94
2
0
31 Oct 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A
  Bayesian Meta-Learning Approach
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach
Ankush Chakrabarty
81
10
0
31 Oct 2022
Iterative Teaching by Data Hallucination
Iterative Teaching by Data Hallucination
Zeju Qiu
Weiyang Liu
Tim Z. Xiao
Zhen Liu
Umang Bhatt
Yucen Luo
Adrian Weller
Bernhard Schölkopf
121
9
0
31 Oct 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Avyav Kumar Singh
Ekaterina Shutova
H. Yannakoudakis
VLM
89
0
0
31 Oct 2022
Few-Shot Classification of Skin Lesions from Dermoscopic Images by
  Meta-Learning Representative Embeddings
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings
Karthik Desingu
P. Mirunalini
Chandrabose Aravindan
98
1
0
30 Oct 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing
  Projection to the Centroid
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Jing Xu
Xu Luo
Xinglin Pan
Wenjie Pei
Yanan Li
Zenglin Xu
84
23
0
30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action
  Recognition
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
Lei Wang
Piotr Koniusz
143
29
0
30 Oct 2022
Dataset Distillation via Factorization
Dataset Distillation via Factorization
Songhua Liu
Kai Wang
Xingyi Yang
Jingwen Ye
Xinchao Wang
DD
217
147
0
30 Oct 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao
Keshigeyan Chandrasegaran
Milad Abdollahzadeh
Ngai-Man Cheung
124
46
0
29 Oct 2022
Meta-Learning Biologically Plausible Plasticity Rules with Random
  Feedback Pathways
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways
Navid Shervani-Tabar
Robert Rosenbaum
AI4CE
121
16
0
28 Oct 2022
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in
  CTR Prediction
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction
Yanyan Shen
Lifan Zhao
Weiyu Cheng
Zibin Zhang
Wenwen Zhou
Kangyi Lin
71
5
0
28 Oct 2022
Adapting Neural Models with Sequential Monte Carlo Dropout
Adapting Neural Models with Sequential Monte Carlo Dropout
Pamela Carreno-Medrano
Dana Kulic
Michael G. Burke
122
4
0
27 Oct 2022
Multi-task Bias-Variance Trade-off Through Functional Constraints
Multi-task Bias-Variance Trade-off Through Functional Constraints
J. Cerviño
J. Bazerque
Miguel Calvo-Fullana
Alejandro Ribeiro
28
0
0
27 Oct 2022
Meta-Reinforcement Learning Using Model Parameters
Meta-Reinforcement Learning Using Model Parameters
G. Hartmann
A. Azaria
73
0
0
27 Oct 2022
Meta-Learning Initializations for Interactive Medical Image Registration
Meta-Learning Initializations for Interactive Medical Image Registration
Zachary Michael Cieman Baum
Yipeng Hu
D. Barratt
134
15
0
27 Oct 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning
Knowledge-Guided Exploration in Deep Reinforcement Learning
Sahisnu Mazumder
Bing-Quan Liu
Shuai Wang
Yingxuan Zhu
Xiaotian Yin
Lifeng Liu
Jian Li
98
4
0
26 Oct 2022
A Case for Business Process-Specific Foundation Models
A Case for Business Process-Specific Foundation Models
Sadhana Kumaravel
Praveen Venkateswaran
Vatche Isahagian
Vinod Muthusamy
AI4CE
68
9
0
26 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description
  Length Inference
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference
Ségolène Martin
Malik Boudiaf
Émilie Chouzenoux
J. Pesquet
Ismail Ben Ayed
97
8
0
26 Oct 2022
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
Julius Ott
Lorenzo Servadei
Gianfranco Mauro
Thomas Stadelmayer
Avik Santra
Robert Wille
OODUQCV
88
4
0
26 Oct 2022
Learning to Augment via Implicit Differentiation for Domain
  Generalization
Learning to Augment via Implicit Differentiation for Domain Generalization
Ting-Hsiang Wang
Da Li
Kaiyang Zhou
Tao Xiang
Yi-Zhe Song
46
0
0
25 Oct 2022
In-context Reinforcement Learning with Algorithm Distillation
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin
Luyu Wang
Junhyuk Oh
Emilio Parisotto
Stephen Spencer
...
Ethan A. Brooks
Maxime Gazeau
Himanshu Sahni
Satinder Singh
Volodymyr Mnih
OffRL
82
133
0
25 Oct 2022
Optimization for Amortized Inverse Problems
Optimization for Amortized Inverse Problems
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
84
6
0
25 Oct 2022
Entity Divider with Language Grounding in Multi-Agent Reinforcement
  Learning
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
Ziluo Ding
Wanpeng Zhang
Junpeng Yue
Xiangjun Wang
Tiejun Huang
Zongqing Lu
LLMAGAI4CE
32
5
0
25 Oct 2022
A Comparative Attention Framework for Better Few-Shot Object Detection
  on Aerial Images
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
91
3
0
25 Oct 2022
Contrastive Representation Learning for Gaze Estimation
Contrastive Representation Learning for Gaze Estimation
Swati Jindal
Roberto Manduchi
64
13
0
24 Oct 2022
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