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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 / 2,295 papers shown
Title
On the Generalization and Adaption Performance of Causal Models
On the Generalization and Adaption Performance of Causal Models
Nino Scherrer
Anirudh Goyal
Stefan Bauer
Yoshua Bengio
Nan Rosemary Ke
CML
OOD
BDL
TTA
36
8
0
09 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Yi Yang
Yanqiao Zhu
Hejie Cui
Xuan Kan
Lifang He
Ying Guo
Carl Yang
43
30
0
09 Jun 2022
FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation
FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation
Zi-Yi Dou
Nanyun Peng
38
22
0
09 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution
  Samples
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong H. Le
Khoi Duc Minh Nguyen
Khoi Nguyen
Quoc-Huy Tran
Rang Nguyen
Binh-Son Hua
OODD
43
39
0
08 Jun 2022
Sim2real for Reinforcement Learning Driven Next Generation Networks
Sim2real for Reinforcement Learning Driven Next Generation Networks
Peizheng Li
Jonathan D. Thomas
Xiaoyang Wang
Hakan Erdol
A. Ahmad
...
S. Kapoor
Arjun Parekh
A. Doufexi
Arman Shojaeifard
Robert Piechocki
28
3
0
08 Jun 2022
Metric Based Few-Shot Graph Classification
Metric Based Few-Shot Graph Classification
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
44
5
0
08 Jun 2022
Meta-Learning Parameterized Skills
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
43
6
0
07 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space
Few-Shot Learning by Dimensionality Reduction in Gradient Space
M. Gauch
M. Beck
Thomas Adler
D. Kotsur
Stefan Fiel
...
Markus Holzleitner
Werner Zellinger
D. Klotz
Sepp Hochreiter
Sebastian Lehner
54
9
0
07 Jun 2022
Remember the Past: Distilling Datasets into Addressable Memories for
  Neural Networks
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng
Olga Russakovsky
FedML
DD
54
94
0
06 Jun 2022
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement
  Learning and Real2Sim Policy Adaptation
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Yiwen Chen
Xue-Yong Li
Sheng Guo
Xiang Yao Ng
Marcelo H. Ang Jr
32
4
0
06 Jun 2022
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with
  Mixture Attention Mechanism
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism
Han Liu
Siyang Zhao
Xiaotong Zhang
Feng Zhang
Ju Sun
Hong Yu
Xianchao Zhang
VLM
39
11
0
05 Jun 2022
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for
  Metamaterial Modeling
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling
Lu Zhang
Huaiqian You
Yue Yu
OffRL
31
7
0
04 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via
  Eigen-Reptile
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Dong Chen
Lingfei Wu
Siliang Tang
Xiao Yun
Bo Long
Yueting Zhuang
VLM
NoLa
36
9
0
04 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models
Drawing out of Distribution with Neuro-Symbolic Generative Models
Yi-Chuan Liang
J. Tenenbaum
T. Le
N. Siddharth
25
8
0
03 Jun 2022
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
Seonghyeon Nam
Abhijith Punnappurath
Marcus A. Brubaker
M. S. Brown
3DH
21
21
0
03 Jun 2022
A Cross-City Federated Transfer Learning Framework: A Case Study on
  Urban Region Profiling
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
Gaode Chen
Yijun Su
Xinghua Zhang
Anmin Hu
Guochun Chen
Siyuan Feng
Jinlin Xiang
Junbo Zhang
Yu Zheng
51
5
0
31 May 2022
Meta-ticket: Finding optimal subnetworks for few-shot learning within
  randomly initialized neural networks
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Daiki Chijiwa
Shin'ya Yamaguchi
Atsutoshi Kumagai
Yasutoshi Ida
37
8
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
186
49
0
30 May 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image
  Classification
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
Zaiyun Yang
VLM
DRL
25
1
0
30 May 2022
Provable Benefits of Representational Transfer in Reinforcement Learning
Provable Benefits of Representational Transfer in Reinforcement Learning
Alekh Agarwal
Yuda Song
Wen Sun
Kaiwen Wang
Mengdi Wang
Xuezhou Zhang
OffRL
30
33
0
29 May 2022
Will Bilevel Optimizers Benefit from Loops
Will Bilevel Optimizers Benefit from Loops
Kaiyi Ji
Mingrui Liu
Yingbin Liang
Lei Ying
48
41
0
27 May 2022
Exemplar Free Class Agnostic Counting
Exemplar Free Class Agnostic Counting
Viresh Ranjan
Minh Hoai
23
38
0
27 May 2022
Automated Dynamic Algorithm Configuration
Automated Dynamic Algorithm Configuration
Steven Adriaensen
André Biedenkapp
Gresa Shala
Noor H. Awad
Theresa Eimer
Marius Lindauer
Frank Hutter
44
37
0
27 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
43
76
0
27 May 2022
Language Anisotropic Cross-Lingual Model Editing
Language Anisotropic Cross-Lingual Model Editing
Yang Xu
Yutai Hou
Wanxiang Che
Min Zhang
KELM
104
26
0
25 May 2022
Fast Inference and Transfer of Compositional Task Structures for
  Few-shot Task Generalization
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization
Sungryull Sohn
Hyunjae Woo
Jongwook Choi
lyubing qiang
Izzeddin Gur
Aleksandra Faust
Honglak Lee
BDL
OffRL
43
3
0
25 May 2022
Low Resource Style Transfer via Domain Adaptive Meta Learning
Low Resource Style Transfer via Domain Adaptive Meta Learning
Xiangyang Li
Xiang Long
Yu Xia
Sujian Li
21
10
0
25 May 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning
Learning a Better Initialization for Soft Prompts via Meta-Learning
Yukun Huang
Kun Qian
Zhou Yu
VLM
77
9
0
25 May 2022
Know Where You're Going: Meta-Learning for Parameter-Efficient
  Fine-Tuning
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning
Mozhdeh Gheini
Xuezhe Ma
Jonathan May
65
5
0
25 May 2022
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
Chendong Zhao
Jianzong Wang
LeiLai Li
Xiaoyang Qu
Jing Xiao
65
10
0
24 May 2022
Memory-enriched computation and learning in spiking neural networks
  through Hebbian plasticity
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Thomas Limbacher
Ozan Özdenizci
Robert Legenstein
26
2
0
23 May 2022
Personalized Federated Learning with Server-Side Information
Personalized Federated Learning with Server-Side Information
Jaehun Song
Min Hwan Oh
Hyung-Sin Kim
FedML
43
8
0
23 May 2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Feng Chen
CLL
62
21
0
20 May 2022
Learning to Count Anything: Reference-less Class-agnostic Counting with
  Weak Supervision
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael A. Hobley
V. Prisacariu
70
38
0
20 May 2022
Interpolating Compressed Parameter Subspaces
Interpolating Compressed Parameter Subspaces
Siddhartha Datta
N. Shadbolt
42
5
0
19 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization
  Influence
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
Shuo Yang
Zeke Xie
Hanyu Peng
Minjing Xu
Mingming Sun
P. Li
DD
155
108
0
19 May 2022
Cross-subject Action Unit Detection with Meta Learning and
  Transformer-based Relation Modeling
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling
Jiyuan Cao
Zhilei Liu
Yong Zhang
ViT
40
2
0
18 May 2022
Persian Natural Language Inference: A Meta-learning approach
Persian Natural Language Inference: A Meta-learning approach
Heydar Soudani
Mohammadreza Mojab
H. Beigy
39
1
0
18 May 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
Alexander Bartler
Florian Bender
Felix Wiewel
B. Yang
TTA
45
9
0
18 May 2022
Aligning Robot Representations with Humans
Aligning Robot Representations with Humans
Andreea Bobu
Andi Peng
34
0
0
15 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial
  Attacks
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
Siddhartha Datta
AAML
43
4
0
15 May 2022
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings
  for Complex Word Identification
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
George-Eduard Zaharia
Razvan-Alexandru Smadu
Dumitru-Clementin Cercel
M. Dascalu
39
3
0
15 May 2022
Not to Overfit or Underfit the Source Domains? An Empirical Study of
  Domain Generalization in Question Answering
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering
Md Arafat Sultan
Avirup Sil
Radu Florian
OOD
37
6
0
15 May 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
90
171
0
13 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
59
349
0
13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and
  Test-time Augmentation
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation
Yujin Kim
Jaehoon Oh
Sungnyun Kim
Se-Young Yun
35
6
0
13 May 2022
Warm-starting DARTS using meta-learning
Warm-starting DARTS using meta-learning
Matej Grobelnik
Joaquin Vanschoren
AI4CE
36
1
0
12 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build
  Back Better with Semantic Task Sampling
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling
Etienne Bennequin
Myriam Tami
Antoine Toubhans
C´eline Hudelot
VLM
28
4
0
10 May 2022
Privacy Enhancement for Cloud-Based Few-Shot Learning
Privacy Enhancement for Cloud-Based Few-Shot Learning
Archit Parnami
Muhammad Usama
Liyue Fan
Minwoo Lee
27
1
0
10 May 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the
  Federated Setting
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
Yin Hua
Wen Zhang
Zhen Yao
Xian-gan Chen
Mengxiao Ding
Fei Huang
Huajun Chen
FedML
33
26
0
10 May 2022
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