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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
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Yunxiao Qin
Chenxu Zhao
Xiangyu Zhu
Zezheng Wang
Zitong Yu
Tianyu Fu
Feng Zhou
Jingping Shi
Zhen Lei
CVBM
96
118
0
29 Apr 2019
Domain Agnostic Learning with Disentangled Representations
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng
Zijun Huang
Ximeng Sun
Kate Saenko
OODDRL
101
265
0
28 Apr 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via
  Learning to Learn ID Embeddings
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan
Shuokai Li
Xiang Ao
Pingzhong Tang
Qing He
86
188
0
25 Apr 2019
Hierarchical Meta Learning
Hierarchical Meta Learning
Yingtian Zou
Jiashi Feng
43
4
0
19 Apr 2019
A Novel BiLevel Paradigm for Image-to-Image Translation
A Novel BiLevel Paradigm for Image-to-Image Translation
Liqian Ma
Qianru Sun
Bernt Schiele
Luc Van Gool
78
5
0
18 Apr 2019
Catch Me If You Can
Catch Me If You Can
Antoine Viscardi
Casey Juanxi Li
Thomas Hollis
DRL
13
0
0
18 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical
  Images
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
Junsik Kim
Tae-Hyun Oh
Seokju Lee
Fei Pan
In So Kweon
DRL
78
73
0
17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
146
128
0
17 Apr 2019
Online Adaptation through Meta-Learning for Stereo Depth Estimation
Online Adaptation through Meta-Learning for Stereo Depth Estimation
Zhenyu Zhang
Stéphane Lathuilière
Andrea Pilzer
N. Sebe
Elisa Ricci
Jian Yang
66
20
0
17 Apr 2019
Learning Discriminative Model Prediction for Tracking
Learning Discriminative Model Prediction for Tracking
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
151
1,046
0
15 Apr 2019
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model
  Predictive Path Integral Control
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control
Chen Liang
Weihong Wang
Zhenghua Liu
Chao Lai
Benchun Zhou
49
29
0
15 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation
ACE: Adapting to Changing Environments for Semantic Segmentation
Zuxuan Wu
Xin Wang
Joseph E. Gonzalez
Tom Goldstein
L. Davis
OOD
79
103
0
12 Apr 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Xin Wang
Feng Yu
Ruth Wang
Trevor Darrell
Joseph E. Gonzalez
83
105
0
11 Apr 2019
MxML: Mixture of Meta-Learners for Few-Shot Classification
MxML: Mixture of Meta-Learners for Few-Shot Classification
Minseop Park
Jungtaek Kim
Saehoon Kim
Yanbin Liu
Seungjin Choi
OODD
33
8
0
11 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
164
1,164
0
10 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
147
1,849
0
10 Apr 2019
Corpora Generation for Grammatical Error Correction
Corpora Generation for Grammatical Error Correction
Jared Lichtarge
C. Alberti
Shankar Kumar
Noam M. Shazeer
Niki Parmar
Simon Tong
88
142
0
10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
66
145
0
09 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with
  Meta-level Dropout
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
Heda Song
M. Torres
Ender Ozcan
I. Triguero
55
8
0
08 Apr 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
180
1,770
0
08 Apr 2019
Meta-Learning with Differentiable Convex Optimization
Meta-Learning with Differentiable Convex Optimization
Kwonjoon Lee
Subhransu Maji
Avinash Ravichandran
Stefano Soatto
124
1,271
0
07 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples
Few-Shot Learning via Saliency-guided Hallucination of Samples
Hongguang Zhang
Jing Zhang
Piotr Koniusz
98
203
0
06 Apr 2019
Learning to Adapt for Stereo
Learning to Adapt for Stereo
A. Tonioni
Oscar Rahnama
Thomas Joy
Luigi Di Stefano
Thalaiyasingam Ajanthan
Philip Torr
105
85
0
05 Apr 2019
Actively Seeking and Learning from Live Data
Actively Seeking and Learning from Live Data
Damien Teney
Anton Van Den Hengel
OOD
77
21
0
05 Apr 2019
Empirical Bayes Regret Minimization
Empirical Bayes Regret Minimization
Chih-Wei Hsu
Branislav Kveton
Ofer Meshi
Martin Mladenov
Csaba Szepesvári
88
13
0
04 Apr 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian
  Optimization
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Michael Volpp
Lukas P. Frohlich
Kirsten Fischer
Andreas Doerr
Stefan Falkner
Frank Hutter
Christian Daniel
105
85
0
04 Apr 2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for
  Few-Shot Learning
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
Duo Wang
Yu Cheng
Mo Yu
Xiaoxiao Guo
Zhang Tao
VLM
56
3
0
04 Apr 2019
Comparison Network for One-Shot Conditional Object Detection
Tengfei Zhang
Yue Zhang
Xian Sun
Hao Sun
Ming Yan
Xue Yang
Kun Fu
ObjD
152
23
0
04 Apr 2019
A Training-free, One-shot Detection Framework For Geospatial Objects In
  Remote Sensing Images
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images
Tengfei Zhang
Yue Zhang
Xian Sun
Ming Yan
Yaoling Wang
Kun Fu
ObjD
49
4
0
04 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
115
296
0
03 Apr 2019
Guided Meta-Policy Search
Guided Meta-Policy Search
Russell Mendonca
Abhishek Gupta
Rosen Kralev
Pieter Abbeel
Sergey Levine
Chelsea Finn
68
57
0
01 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot
  Learning
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
96
494
0
28 Mar 2019
Regularizing Trajectory Optimization with Denoising Autoencoders
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney
Norman Di Palo
Mathias Berglund
Alexander Ilin
Arno Solin
Antti Rasmus
Harri Valpola
56
10
0
28 Mar 2019
Meta-Learning surrogate models for sequential decision making
Meta-Learning surrogate models for sequential decision making
Alexandre Galashov
Jonathan Richard Schwarz
Hyunjik Kim
M. Garnelo
D. Saxton
Pushmeet Kohli
S. M. Ali Eslami
Yee Whye Teh
BDLOffRL
95
25
0
28 Mar 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
129
198
0
27 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
61
246
0
27 Mar 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Giulia Denevi
C. Ciliberto
Riccardo Grazzi
Massimiliano Pontil
82
110
0
25 Mar 2019
Learning from Adversarial Features for Few-Shot Classification
Learning from Adversarial Features for Few-Shot Classification
Wei Shen
Ziqiang Shi
Jun Sun
49
9
0
25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GANVLM
101
491
0
25 Mar 2019
Few-shot Adaptive Faster R-CNN
Few-shot Adaptive Faster R-CNN
Tao Wang
Xiaopeng Zhang
Li-xin Yuan
Jiashi Feng
ObjD
116
132
0
22 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic
  Context Variables
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
Kate Rakelly
Aurick Zhou
Deirdre Quillen
Chelsea Finn
Sergey Levine
OffRL
98
665
0
19 Mar 2019
Hindsight Generative Adversarial Imitation Learning
Hindsight Generative Adversarial Imitation Learning
N. Liu
Tao Lu
Yinghao Cai
Boyao Li
Shuo Wang
78
6
0
19 Mar 2019
Neuromorphic Hardware learns to learn
Neuromorphic Hardware learns to learn
Thomas Bohnstingl
Franz Scherr
Christian Pehle
K. Meier
Wolfgang Maass
51
48
0
15 Mar 2019
Adaptive Variance for Changing Sparse-Reward Environments
Adaptive Variance for Changing Sparse-Reward Environments
Xingyu Lin
Pengsheng Guo
Carlos Florensa
David Held
59
6
0
15 Mar 2019
Dense Classification and Implanting for Few-Shot Learning
Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
Andrei Bursuc
VLM
65
198
0
12 Mar 2019
Machine Learning Solutions for High Energy Physics: Applications to
  Electromagnetic Shower Generation, Flavor Tagging, and the Search for
  di-Higgs Production
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production
Michela Paganini
29
1
0
12 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Pravendra Singh
Vinay Kumar Verma
Piyush Rai
Vinay P. Namboodiri
82
98
0
11 Mar 2019
Alignment Based Matching Networks for One-Shot Classification and
  Open-Set Recognition
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition
Paresh Malalur
Tommi Jaakkola
ObjDVLM
40
0
0
11 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based
  Image Retrieval
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
Anjan Dutta
Zeynep Akata
91
145
0
08 Mar 2019
Learning Feature Relevance Through Step Size Adaptation in
  Temporal-Difference Learning
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning
Alex Kearney
Vivek Veeriah
Jaden B. Travnik
P. Pilarski
R. Sutton
OOD
59
13
0
08 Mar 2019
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