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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 / 5,505 papers shown
Title
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture
  Detection
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
M. Husseini
Anjany Sekuboyina
Maximilian Loeffler
Fernando Navarro
Bjoern Menze
Jan S. Kirschke
64
21
0
18 Aug 2020
Domain Generalizer: A Few-shot Meta Learning Framework for Domain
  Generalization in Medical Imaging
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging
Pulkit Khandelwal
Paul Yushkevich
OOD
113
38
0
18 Aug 2020
OCEAN: Online Task Inference for Compositional Tasks with Context
  Adaptation
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Hongyu Ren
Yuke Zhu
J. Leskovec
Anima Anandkumar
Animesh Garg
LRM
47
4
0
17 Aug 2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition
A Self-supervised GAN for Unsupervised Few-shot Object Recognition
Khoi Duc Minh Nguyen
S. Todorovic
SSL
68
5
0
16 Aug 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and
  Novel-View Synthesis
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao
Yu-Xiong Wang
M. Hebert
91
11
0
16 Aug 2020
AutoSimulate: (Quickly) Learning Synthetic Data Generation
AutoSimulate: (Quickly) Learning Synthetic Data Generation
Harkirat Singh Behl
A. G. Baydin
Ran Gal
Philip Torr
Vibhav Vineet
125
23
0
16 Aug 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical
  Settings
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Jesse Zhang
Brian Cheung
Chelsea Finn
Sergey Levine
Dinesh Jayaraman
83
60
0
15 Aug 2020
PointMixup: Augmentation for Point Clouds
PointMixup: Augmentation for Point Clouds
Yunlu Chen
Vincent Tao Hu
E. Gavves
Thomas Mensink
Pascal Mettes
Pengwan Yang
Cees G. M. Snoek
3DPC
76
158
0
14 Aug 2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in
  One-Shot Segmentation
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Xianghui Yang
Bairun Wang
Kaige Chen
Xinchi Zhou
Shuai Yi
Wanli Ouyang
Luping Zhou
63
49
0
14 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
131
108
0
13 Aug 2020
Meta Learning MPC using Finite-Dimensional Gaussian Process
  Approximations
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations
Elena Arcari
Andrea Carron
Melanie Zeilinger
51
15
0
13 Aug 2020
Small Towers Make Big Differences
Small Towers Make Big Differences
Yuyan Wang
Zhe Zhao
Bo Dai
Christopher Fifty
Dong Lin
Lichan Hong
Ed H. Chi
71
10
0
13 Aug 2020
Network Architecture Search for Domain Adaptation
Network Architecture Search for Domain Adaptation
Yichen Li
Xingchao Peng
OOD
91
15
0
13 Aug 2020
WAFFLe: Weight Anonymized Factorization for Federated Learning
WAFFLe: Weight Anonymized Factorization for Federated Learning
Weituo Hao
Nikhil Mehta
Kevin J. Liang
Pengyu Cheng
Mostafa El-Khamy
Lawrence Carin
FedML
94
13
0
13 Aug 2020
Few shot clustering for indoor occupancy detection with extremely
  low-quality images from battery free cameras
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras
Homagni Saha
Sin Yong Tan
Ali Saffari
Mohamad Katanbaf
Joshua R. Smith
Soumik Sarkar
54
3
0
13 Aug 2020
Learning to Learn from Mistakes: Robust Optimization for Adversarial
  Noise
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
A. Serban
E. Poll
Joost Visser
AAML
83
1
0
12 Aug 2020
An Overview of Deep Learning Architectures in Few-Shot Learning Domain
An Overview of Deep Learning Architectures in Few-Shot Learning Domain
Shruti Jadon
Aryan Jadon
VLM
108
56
0
12 Aug 2020
Learning to Reason in Round-based Games: Multi-task Sequence Generation
  for Purchasing Decision Making in First-person Shooters
Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters
Yilei Zeng
Deren Lei
Beichen Li
Gangrong Jiang
Emilio Ferrara
M. Zyda
LRM
48
3
0
12 Aug 2020
Learning to See Through Obstructions with Layered Decomposition
Learning to See Through Obstructions with Layered Decomposition
Yu-Lun Liu
Wei-Sheng Lai
Ming-Hsuan Yang
Yung-Yu Chuang
Jia-Bin Huang
64
19
0
11 Aug 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender
  Systems
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Jiaxi Tang
Hongyi Wen
Ke Wang
AAML
75
83
0
11 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a
  Survey
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
Aske Plaat
W. Kosters
Mike Preuss
BDLOffRL
127
17
0
11 Aug 2020
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling
Jiacheng Li
Siliang Tang
Juncheng Li
Jun Xiao
Leilei Gan
Shiliang Pu
Yueting Zhuang
VGen
78
15
0
11 Aug 2020
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in
  the Loop
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop
Guillaume Alain
Maxime Chevalier-Boisvert
Frédéric Osterrath
Remi Piche-Taillefer
HAI
85
6
0
10 Aug 2020
ARCADe: A Rapid Continual Anomaly Detector
ARCADe: A Rapid Continual Anomaly Detector
A. Frikha
Denis Krompass
Volker Tresp
72
11
0
10 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning
Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang
Yifan Zhao
Jia Li
Yonghong Tian
53
35
0
10 Aug 2020
Meta Feature Modulator for Long-tailed Recognition
Meta Feature Modulator for Long-tailed Recognition
Renzhen Wang
Kaiqin Hu
Yanwen Zhu
Jun Shu
Qian Zhao
Deyu Meng
98
12
0
08 Aug 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition
Yixiong Zou
Shanghang Zhang
Jianpeng Yu
Yonghong Tian
José M. F. Moura
71
16
0
07 Aug 2020
Neural Complexity Measures
Neural Complexity Measures
Yoonho Lee
Juho Lee
Sung Ju Hwang
Eunho Yang
Seungjin Choi
87
9
0
07 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning
  without Sacrifices
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
Emmy Liu
Aditi Raghunathan
Percy Liang
Chelsea Finn
OffRL
122
67
0
06 Aug 2020
Offline Meta Learning of Exploration
Offline Meta Learning of Exploration
Ron Dorfman
Idan Shenfeld
Aviv Tamar
OffRL
94
20
0
06 Aug 2020
Few-shot Classification via Adaptive Attention
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
59
19
0
06 Aug 2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor
  Data
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Mohammad Malekzadeh
R. Clegg
Andrea Cavallaro
Hamed Haddadi
AI4TS
63
3
0
05 Aug 2020
Recognition-Synthesis Based Non-Parallel Voice Conversion with
  Adversarial Learning
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning
Jing-Xuan Zhang
Zhenhua Ling
Lirong Dai
89
6
0
05 Aug 2020
Global Voxel Transformer Networks for Augmented Microscopy
Global Voxel Transformer Networks for Augmented Microscopy
Zhengyang Wang
Yaochen Xie
Shuiwang Ji
ViT
37
34
0
05 Aug 2020
Meta Continual Learning via Dynamic Programming
Meta Continual Learning via Dynamic Programming
R. Krishnan
Prasanna Balaprakash
CLL
89
10
0
05 Aug 2020
Fast Adaptive Task Offloading in Edge Computing based on Meta
  Reinforcement Learning
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Jin Wang
Jia Hu
Geyong Min
Albert Y. Zomaya
N. Georgalas
OffRL
109
269
0
05 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
Y. Hong
Li Niu
Jianfu Zhang
Weijie Zhao
Chenghan Fu
Liqing Zhang
GAN
95
87
0
05 Aug 2020
Improving End-to-End Speech-to-Intent Classification with Reptile
Improving End-to-End Speech-to-Intent Classification with Reptile
Yusheng Tian
P. Gorinski
VLM
81
24
0
05 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of
  Artificial Intelligence
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
85
130
0
05 Aug 2020
When is invariance useful in an Out-of-Distribution Generalization
  problem ?
When is invariance useful in an Out-of-Distribution Generalization problem ?
Masanori Koyama
Shoichiro Yamaguchi
OOD
100
67
0
04 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
101
111
0
04 Aug 2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Zhuotao Tian
Hengshuang Zhao
Michelle Shu
Zhicheng Yang
Ruiyu Li
Jiaya Jia
101
521
0
04 Aug 2020
Reinforced Grounded Action Transformation for Sim-to-Real Transfer
Reinforced Grounded Action Transformation for Sim-to-Real Transfer
Haresh Karnan
Siddharth Desai
Josiah P. Hanna
Garrett A. Warnell
Peter Stone
59
24
0
04 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence
State-of-the-art Techniques in Deep Edge Intelligence
Ahnaf Hannan Lodhi
Barış Akgün
Öznur Özkasap
58
5
0
03 Aug 2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Yichen Wu
Jun Shu
Qi Xie
Qian Zhao
Deyu Meng
61
67
0
03 Aug 2020
A Foliated View of Transfer Learning
A Foliated View of Transfer Learning
Janith C. Petangoda
Nick A. M. Monk
M. Deisenroth
66
3
0
02 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Atmadeep Banerjee
SSegVLM
47
5
0
01 Aug 2020
Relation-aware Meta-learning for Market Segment Demand Prediction with
  Limited Records
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Jiatu Shi
Huaxiu Yao
Xian Wu
Tong Li
Zedong Lin
Tengfei Wang
Binqiang Zhao
60
1
0
01 Aug 2020
Designing Neural Speaker Embeddings with Meta Learning
Designing Neural Speaker Embeddings with Meta Learning
Manoj Kumar
Tae Jin Park
Somer Bishop
Shrikanth Narayanan
93
10
0
31 Jul 2020
Learning to Learn to Compress
Learning to Learn to Compress
Nannan Zou
Honglei Zhang
Francesco Cricri
Hamed R. Tavakoli
J. Lainema
M. Hannuksela
Emre B. Aksu
Esa Rahtu
35
0
0
31 Jul 2020
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