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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
One-shot skill assessment in high-stakes domains with limited data via
  meta learning
One-shot skill assessment in high-stakes domains with limited data via meta learning
Erim Yanik
Steven D. Schwaitzberg
Gene Yang
Xavier Intes
Jack Norfleet
Matthew Hackett
S. De
97
4
0
16 Dec 2022
MetaPortrait: Identity-Preserving Talking Head Generation with Fast
  Personalized Adaptation
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation
Bo Zhang
Chenyang Qi
Pan Zhang
Bo Zhang
Hsiang-Tao Wu
Dong Chen
Qifeng Chen
Yong Wang
Fang Wen
117
59
0
15 Dec 2022
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Royson Lee
Rui Li
Stylianos I. Venieris
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
SupR
41
5
0
15 Dec 2022
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion
  Problems
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems
Jérôme Bolte
Edouard Pauwels
Antonio Silveti-Falls
63
13
0
15 Dec 2022
Transformers learn in-context by gradient descent
Transformers learn in-context by gradient descent
J. Oswald
Eyvind Niklasson
E. Randazzo
João Sacramento
A. Mordvintsev
A. Zhmoginov
Max Vladymyrov
MLT
148
497
0
15 Dec 2022
Proposal Distribution Calibration for Few-Shot Object Detection
Proposal Distribution Calibration for Few-Shot Object Detection
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
84
6
0
15 Dec 2022
Learning useful representations for shifting tasks and distributions
Learning useful representations for shifting tasks and distributions
Jianyu Zhang
Léon Bottou
OOD
76
14
0
14 Dec 2022
Diverse Demonstrations Improve In-context Compositional Generalization
Diverse Demonstrations Improve In-context Compositional Generalization
Itay Levy
Ben Bogin
Jonathan Berant
96
146
0
13 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot
  Classification
A Statistical Model for Predicting Generalization in Few-Shot Classification
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
89
2
0
13 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node
  Classification
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen Tan
Song Wang
Kaize Ding
Jundong Li
Huan Liu
85
26
0
11 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation
Cap2Aug: Caption guided Image to Image data Augmentation
Aniket Roy
Anshul B. Shah
Ketul Shah
Anirban Roy
Rama Chellappa
DiffM
68
0
0
11 Dec 2022
Task-Adaptive Meta-Learning Framework for Advancing Spatial
  Generalizability
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
Zhexiong Liu
Licheng Liu
Yiqun Xie
Zhenong Jin
X. Jia
89
8
0
10 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Xin Ni
Yong Liu
Hao Wen
Yatai Ji
Jing Xiao
Yujiu Yang
108
12
0
09 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch
James Harrison
Jascha Narain Sohl-Dickstein
Luke Metz
131
78
0
08 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models
Learning Domain Invariant Prompt for Vision-Language Models
Cairong Zhao
Yubin Wang
Xinyang Jiang
Yifei Shen
Kaitao Song
Dongsheng Li
Duoqian Miao
VLMVPVLM
90
27
0
08 Dec 2022
Generating and Weighting Semantically Consistent Sample Pairs for
  Ultrasound Contrastive Learning
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning
Yixiong Chen
Chunhui Zhang
C. Ding
Li Liu
99
14
0
08 Dec 2022
Learn to Explore: on Bootstrapping Interactive Data Exploration with
  Meta-learning
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning
Yukun Cao
Xike Xie
Kexin Huang
62
4
0
07 Dec 2022
Few-Shot Preference Learning for Human-in-the-Loop RL
Few-Shot Preference Learning for Human-in-the-Loop RL
Joey Hejna
Dorsa Sadigh
OffRL
115
101
0
06 Dec 2022
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain
  Adaptation
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation
Xin Li
Cuiling Lan
Guoqiang Wei
Zhibo Chen
96
4
0
06 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning
  and Domain Adaptation
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
Zhong Yuan
Zhenkun Wang
Genghui Li
OOD
72
1
0
05 Dec 2022
Meta-Learning Fast Weight Language Models
Meta-Learning Fast Weight Language Models
Kevin Clark
Kelvin Guu
Ming-Wei Chang
Panupong Pasupat
Geoffrey E. Hinton
Mohammad Norouzi
KELM
80
14
0
05 Dec 2022
Domain Adaptation and Generalization on Functional Medical Images: A
  Systematic Survey
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey
G. Sarafraz
Armin Behnamnia
Mehran Hosseinzadeh
Ali Balapour
Amin Meghrazi
Hamid R. Rabiee
OODAI4CE
88
7
0
04 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
165
19
0
04 Dec 2022
Meta Learning for Few-Shot Medical Text Classification
Meta Learning for Few-Shot Medical Text Classification
Pankaj Sharma
Imran Qureshi
Minh Tran
OOD
41
0
0
03 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning
PGFed: Personalize Each Client's Global Objective for Federated Learning
Jun Luo
Matías Mendieta
Chong Chen
Shan-Jyun Wu
FedML
88
9
0
02 Dec 2022
Meta-Shop: Improving Item Advertisement For Small Businesses
Meta-Shop: Improving Item Advertisement For Small Businesses
Yang Shi
Guannan Liang
Young-joo Chung
60
0
0
02 Dec 2022
Adaptive Robust Model Predictive Control via Uncertainty Cancellation
Adaptive Robust Model Predictive Control via Uncertainty Cancellation
Rohan Sinha
James Harrison
Spencer M. Richards
Marco Pavone
92
3
0
02 Dec 2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
100
234
0
02 Dec 2022
Towards Cross Domain Generalization of Hamiltonian Representation via
  Meta Learning
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
Yeongwoo Song
Hawoong Jeong
OODAI4CE
84
1
0
02 Dec 2022
Activating the Discriminability of Novel Classes for Few-shot
  Segmentation
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Dianwen Mei
Wei Zhuo
Jiandong Tian
Guangming Lu
Wenjie Pei
VLM
102
0
0
02 Dec 2022
On the Energy and Communication Efficiency Tradeoffs in Federated and
  Multi-Task Learning
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning
S. Savazzi
V. Rampa
Sanaz Kianoush
M. Bennis
73
1
0
02 Dec 2022
Systematic Analysis for Pretrained Language Model Priming for
  Parameter-Efficient Fine-tuning
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning
Shih-Cheng Huang
Shi Wang
Min-Han Shih
Saurav Sahay
Hung-yi Lee
101
0
0
02 Dec 2022
Counting Like Human: Anthropoid Crowd Counting on Modeling the
  Similarity of Objects
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects
Qi. Wang
Juncheng Wang
Junyuan Gao
Yuan. Yuan
Xuelong Li
95
2
0
02 Dec 2022
Few-Shot Nested Named Entity Recognition
Few-Shot Nested Named Entity Recognition
Hong Ming
Jiaoyun Yang
Lili Jiang
Yan Pan
Ning An
79
10
0
02 Dec 2022
Rethinking Two Consensuses of the Transferability in Deep Learning
Rethinking Two Consensuses of the Transferability in Deep Learning
Yixiong Chen
Jingxia Li
C. Ding
Li Liu
76
2
0
01 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
134
10
0
01 Dec 2022
Multi-Task Imitation Learning for Linear Dynamical Systems
Multi-Task Imitation Learning for Linear Dynamical Systems
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
117
24
0
01 Dec 2022
Evidential Conditional Neural Processes
Evidential Conditional Neural Processes
Deepshikha Pandey
Qi Yu
BDLEDLUQCV
66
15
0
30 Nov 2022
MrSARP: A Hierarchical Deep Generative Prior for SAR Image
  Super-resolution
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
Tushar Agarwal
Nithin Sugavanam
Emre Ertin
GAN
89
2
0
30 Nov 2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot
  Image Classification
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
Jijie Wu
Dongliang Chang
Aneeshan Sain
Xiaoxu Li
Zhanyu Ma
Jie Cao
Jun Guo
Yi-Zhe Song
78
37
0
30 Nov 2022
Hint-dynamic Knowledge Distillation
Hint-dynamic Knowledge Distillation
Yiyang Liu
Chenxin Li
Xiaotong Tu
Xinghao Ding
Yue Huang
75
1
0
30 Nov 2022
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog
  with Reinforced Keywords Learning
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning
Xiao Yu
Qingyang Wu
Kun Qian
Zhou Yu
OffRL
70
12
0
30 Nov 2022
Transferability Estimation Based On Principal Gradient Expectation
Transferability Estimation Based On Principal Gradient Expectation
Huiyan Qi
Lechao Cheng
Jingjing Chen
Yue Yu
Xue Song
Zunlei Feng
Yueping Jiang
89
2
0
29 Nov 2022
Differentiable User Models
Differentiable User Models
Alex Hamalainen
Mustafa Mert cCelikok
Samuel Kaski
79
1
0
29 Nov 2022
Disentangled Generation with Information Bottleneck for Few-Shot
  Learning
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Zhuohang Dang
Jihong Wang
Minnan Luo
Chengyou Jia
Caixia Yan
Qinghua Zheng
73
1
0
29 Nov 2022
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
73
8
0
29 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
62
17
0
29 Nov 2022
What learning algorithm is in-context learning? Investigations with
  linear models
What learning algorithm is in-context learning? Investigations with linear models
Ekin Akyürek
Dale Schuurmans
Jacob Andreas
Tengyu Ma
Denny Zhou
125
493
0
28 Nov 2022
Mutual Exclusivity Training and Primitive Augmentation to Induce
  Compositionality
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality
Yichen Jiang
Xiang Zhou
Joey Tianyi Zhou
82
10
0
28 Nov 2022
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
S. Rezaei-Shoshtari
Charlotte Morissette
F. Hogan
Gregory Dudek
David Meger
OffRL
105
15
0
28 Nov 2022
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