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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
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Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 1,990 papers shown
Title
Meta-learning framework with applications to zero-shot time-series
  forecasting
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
UQCV
AI4TS
AI4CE
39
106
0
07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
11
12
0
06 Feb 2020
Generalizing meanings from partners to populations: Hierarchical
  inference supports convention formation on networks
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks
Robert D. Hawkins
Noah D. Goodman
A. Goldberg
Thomas Griffiths
25
12
0
04 Feb 2020
Effective Diversity in Population Based Reinforcement Learning
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
22
158
0
03 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
22
40
0
01 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
32
387
0
23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across
  Domains
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
30
48
0
22 Jan 2020
Learning to Augment Expressions for Few-shot Fine-grained Facial
  Expression Recognition
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Wenxuan Wang
Yanwei Fu
Qiang Sun
Tao Chen
Chenjie Cao
Ziqi Zheng
Guoqiang Xu
Han Qiu
Yu-Gang Jiang
Xiangyang Xue
CVBM
29
14
0
17 Jan 2020
Graph Inference Learning for Semi-supervised Classification
Graph Inference Learning for Semi-supervised Classification
Chunyan Xu
Zhen Cui
Xiaobin Hong
Tong Zhang
Jian Yang
Wei Liu
24
29
0
17 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and
  Unsupervised Few-shot Learning
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Philip Torr
SSL
34
59
0
12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention
Few-shot Action Recognition with Permutation-invariant Attention
Hongguang Zhang
Li Zhang
Xiaojuan Qi
Hongdong Li
Philip Torr
Piotr Koniusz
24
3
0
12 Jan 2020
Fine-grained Image-to-Image Transformation towards Visual Recognition
Fine-grained Image-to-Image Transformation towards Visual Recognition
Wei Xiong
Yutong He
Yixuan Zhang
Wenhan Luo
Lin Ma
Jiebo Luo
CVBM
30
26
0
12 Jan 2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Seobin Park
Jinsu Yoo
Donghyeon Cho
Jiwon Kim
Tae Hyun Kim
SupR
23
83
0
09 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for
  Long-tailed Classification
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang
Guiguang Ding
Jungong Han
28
279
0
06 Jan 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity
  for Communication Systems
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems
Osvaldo Simeone
Sangwoo Park
Joonhyuk Kang
AI4CE
31
62
0
05 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDL
CLL
13
209
0
03 Jan 2020
Diversity Transfer Network for Few-Shot Learning
Diversity Transfer Network for Few-Shot Learning
Mengting Chen
Yuxin Fang
Xinggang Wang
Heng Luo
Yifeng Geng
Xinyu Zhang
Chang Huang
Wenyu Liu
Bo Wang
15
69
0
31 Dec 2019
Measuring Dataset Granularity
Measuring Dataset Granularity
Huayu Chen
Zeqi Gu
D. Mahajan
L. V. D. van der Maaten
Serge J. Belongie
Ser-Nam Lim
29
13
0
21 Dec 2019
Locality and compositionality in zero-shot learning
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
24
56
0
20 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
30
63
0
20 Dec 2019
Continuous Meta-Learning without Tasks
Continuous Meta-Learning without Tasks
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLL
OOD
30
79
0
18 Dec 2019
How Should an Agent Practice?
How Should an Agent Practice?
Janarthanan Rajendran
Richard L. Lewis
Vivek Veeriah
Honglak Lee
Satinder Singh
26
9
0
15 Dec 2019
Encoding Musical Style with Transformer Autoencoders
Encoding Musical Style with Transformer Autoencoders
Kristy Choi
Curtis Hawthorne
Ian Simon
Monica Dinculescu
Jesse Engel
33
89
0
10 Dec 2019
Zero-shot Text Classification With Generative Language Models
Zero-shot Text Classification With Generative Language Models
Raul Puri
Bryan Catanzaro
VLM
21
102
0
10 Dec 2019
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and
  Meta-Learning
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
Tomaso Fontanini
Eleonora Iotti
Luca Donati
Andrea Prati
GAN
AI4CE
40
23
0
05 Dec 2019
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
43
51
0
04 Dec 2019
Multimodal Machine Translation through Visuals and Speech
Multimodal Machine Translation through Visuals and Speech
U. Sulubacak
Ozan Caglayan
Stig-Arne Gronroos
Aku Rouhe
Desmond Elliott
Lucia Specia
Jörg Tiedemann
49
73
0
28 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot Learning
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
25
10
0
28 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
20
136
0
25 Nov 2019
Continual adaptation for efficient machine communication
Continual adaptation for efficient machine communication
Robert D. Hawkins
Minae Kwon
Dorsa Sadigh
Noah D. Goodman
CLL
24
32
0
22 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Qing Guo
Siliang Tang
Haizhou Shi
Fei Wu
Yueting Zhuang
William Yang Wang
SSL
46
68
0
18 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Automatic Design of CNNs via Differentiable Neural Architecture Search
  for PolSAR Image Classification
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Hongwei Dong
Siyu Zhang
B. Zou
Lamei Zhang
16
47
0
16 Nov 2019
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with
  Minimal Resources
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu
Zijia Lin
Guoxin Wang
Hui Chen
Börje F. Karlsson
Biqing Huang
Chin-Yew Lin
16
68
0
14 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification
Self-Supervised Learning For Few-Shot Image Classification
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
16
108
0
14 Nov 2019
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
22
35
0
12 Nov 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
30
219
0
30 Oct 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
57
685
0
29 Oct 2019
Convolutional Conditional Neural Processes
Convolutional Conditional Neural Processes
Jonathan Gordon
W. Bruinsma
Andrew Y. K. Foong
James Requeima
Yann Dubois
Richard Turner
BDL
25
162
0
29 Oct 2019
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
27
29
0
28 Oct 2019
HIDRA: Head Initialization across Dynamic targets for Robust
  Architectures
HIDRA: Head Initialization across Dynamic targets for Robust Architectures
Rafael Rêgo Drumond
L. Brinkmeyer
Josif Grabocka
Lars Schmidt-Thieme
19
4
0
28 Oct 2019
Differentiable Convex Optimization Layers
Differentiable Convex Optimization Layers
Akshay Agrawal
Brandon Amos
Shane T. Barratt
Stephen P. Boyd
Steven Diamond
Zico Kolter
45
639
0
28 Oct 2019
Meta Learning for End-to-End Low-Resource Speech Recognition
Meta Learning for End-to-End Low-Resource Speech Recognition
Jui-Yang Hsu
Yuan-Jui Chen
Hung-yi Lee
27
103
0
26 Oct 2019
Meta-Learning with Dynamic-Memory-Based Prototypical Network for
  Few-Shot Event Detection
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng
Ningyu Zhang
Jiaojian Kang
Yichi Zhang
Wei Zhang
Huajun Chen
31
131
0
25 Oct 2019
Meta-learning for robust child-adult classification from speech
Meta-learning for robust child-adult classification from speech
Nithin Rao Koluguri
Manoj Kumar
So Hyun Kim
C. Lord
Shrikanth Narayanan
20
19
0
24 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
89
1,126
0
24 Oct 2019
Speaker Adaptive Training using Model Agnostic Meta-Learning
Speaker Adaptive Training using Model Agnostic Meta-Learning
Ondˇrej Klejch
Joachim Fainberg
P. Bell
Steve Renals
27
30
0
23 Oct 2019
Meta-Learning to Communicate: Fast End-to-End Training for Fading
  Channels
Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels
Sangwoo Park
Osvaldo Simeone
Joonhyuk Kang
31
51
0
22 Oct 2019
Domain-agnostic Question-Answering with Adversarial Training
Domain-agnostic Question-Answering with Adversarial Training
Seanie Lee
Donggyu Kim
Jangwon Park
OOD
32
72
0
21 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
6
272
0
18 Oct 2019
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