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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
Applications of physics-informed scientific machine learning in
  subsurface science: A survey
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
82
11
0
10 Apr 2021
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing
Anna Langedijk
Verna Dankers
Phillip Lippe
Sander Bos
B. C. Guevara
H. Yannakoudakis
Ekaterina Shutova
CLL
70
15
0
10 Apr 2021
Reinforced Attention for Few-Shot Learning and Beyond
Reinforced Attention for Few-Shot Learning and Beyond
Jie Hong
Pengfei Fang
Weihao Li
Tong Zhang
Christian Simon
Mehrtash Harandi
L. Petersson
70
51
0
09 Apr 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement
  Learning
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
Wenzhen Huang
Qiyue Yin
Junge Zhang
Kaiqi Huang
61
3
0
09 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple
  Degradations
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations
Guanghao Yin
Wei Wang
Zehuan Yuan
Wei Ji
Dongdong Yu
Shouqian Sun
Tat-Seng Chua
Changhu Wang
81
16
0
08 Apr 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti
L. Zintgraf
J. Bronskill
Lida Theodorou
Matthew Tobias Harris
Edward Cutrell
C. Morrison
Katja Hofmann
Simone Stumpf
191
45
0
08 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal
  Transport
Few-Shot Action Recognition with Compromised Metric via Optimal Transport
Su Lu
Han-Jia Ye
De-Chuan Zhan
90
18
0
08 Apr 2021
Towards Enabling Meta-Learning from Target Models
Towards Enabling Meta-Learning from Target Models
Su Lu
Han-Jia Ye
Le Gan
De-Chuan Zhan
CLL
71
5
0
08 Apr 2021
Open Domain Generalization with Domain-Augmented Meta-Learning
Open Domain Generalization with Domain-Augmented Meta-Learning
Yang Shu
Zhangjie Cao
Chenyu Wang
Jianmin Wang
Mingsheng Long
OOD
77
167
0
08 Apr 2021
Prototypical Region Proposal Networks for Few-Shot Localization and
  Classification
Prototypical Region Proposal Networks for Few-Shot Localization and Classification
Elliott Skomski
Aaron Tuor
Andrew Avila
Lauren A. Phillips
Zach New
Henry Kvinge
Court D. Corley
Nathan Oken Hodas
42
0
0
08 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Zhiqiu Lin
Deva Ramanan
Aayush Bansal
LRM
75
5
0
07 Apr 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang
Nan Song
Guosheng Lin
Yun Zheng
Pan Pan
Yinghui Xu
CLL
161
301
0
07 Apr 2021
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation
Xudong Li
Li Feng
Leiyuan Li
Chen Wang
3DPC
41
8
0
07 Apr 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Andy Shih
Arjun Sawhney
J. Kondic
Stefano Ermon
Dorsa Sadigh
108
37
0
07 Apr 2021
Soft-Label Anonymous Gastric X-ray Image Distillation
Soft-Label Anonymous Gastric X-ray Image Distillation
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
DD
157
55
0
07 Apr 2021
A Student-Teacher Architecture for Dialog Domain Adaptation under the
  Meta-Learning Setting
A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting
Kun Qian
Wei Wei
Zhou Yu
84
8
0
06 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
80
26
0
06 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot
  Class-Incremental Learning
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning
Boyu Yang
Mingbao Lin
Binghao Liu
Mengying Fu
Chang-rui Liu
Rongrong Ji
QiXiang Ye
CLL
65
16
0
06 Apr 2021
Beyond Categorical Label Representations for Image Classification
Beyond Categorical Label Representations for Image Classification
Boyuan Chen
Yu Li
Sunand Raghupathi
Hod Lipson
SSL
78
2
0
06 Apr 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Gen Li
Varun Jampani
Laura Sevilla-Lara
Deqing Sun
Jonghyun Kim
Joongkyu Kim
106
365
0
05 Apr 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition
A. Bhunia
S. Ghose
Amandeep Kumar
Pinaki Nath Chowdhury
Aneeshan Sain
Yi-Zhe Song
111
31
0
05 Apr 2021
Explainability-aided Domain Generalization for Image Classification
Explainability-aided Domain Generalization for Image Classification
Robin M. Schmidt
FAttOOD
61
1
0
05 Apr 2021
A contrastive rule for meta-learning
A contrastive rule for meta-learning
Nicolas Zucchet
Simon Schug
J. Oswald
Dominic Zhao
João Sacramento
MLT
127
19
0
04 Apr 2021
Learning to Filter: Siamese Relation Network for Robust Tracking
Learning to Filter: Siamese Relation Network for Robust Tracking
Shuyang Cheng
Bineng Zhong
Guorong Li
Xin Liu
Zhenjun Tang
Xianxian Li
Jing Wang
100
88
0
02 Apr 2021
Confidence Calibration for Domain Generalization under Covariate Shift
Confidence Calibration for Domain Generalization under Covariate Shift
Yunye Gong
Xiaoyu Lin
Yi Yao
Thomas G. Dietterich
Ajay Divakaran
Melinda Gervasio
67
27
0
01 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
115
4
0
01 Apr 2021
Storchastic: A Framework for General Stochastic Automatic
  Differentiation
Storchastic: A Framework for General Stochastic Automatic Differentiation
Emile van Krieken
Jakub M. Tomczak
A. T. Teije
ODLOffRL
103
16
0
01 Apr 2021
Federated Few-Shot Learning with Adversarial Learning
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan
Jianwei Huang
FedML
83
30
0
01 Apr 2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction
Shanyan Guan
Jingwei Xu
Yunbo Wang
Bingbing Ni
Xiaokang Yang
3DH
95
51
0
30 Mar 2021
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn
  Chatbot Responding with Intention
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention
Hsuan Su
Jiun-hao Jhan
Fan-Yun Sun
Saurav Sahay
Hung-yi Lee
67
5
0
30 Mar 2021
Conditional Meta-Learning of Linear Representations
Conditional Meta-Learning of Linear Representations
Giulia Denevi
Massimiliano Pontil
C. Ciliberto
119
12
0
30 Mar 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTAOOD
88
87
0
30 Mar 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot
  Object Detection
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Hanzhe Hu
Shuai Bai
Aoxue Li
J. Cui
Liwei Wang
ObjD
66
157
0
30 Mar 2021
Revisiting Local Descriptor for Improved Few-Shot Classification
Revisiting Local Descriptor for Improved Few-Shot Classification
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Qianru Sun
86
28
0
30 Mar 2021
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning
AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning
Madeleine Grunde-McLaughlin
Ranjay Krishna
Maneesh Agrawala
CoGe
90
119
0
30 Mar 2021
An Overview of Human Activity Recognition Using Wearable Sensors:
  Healthcare and Artificial Intelligence
An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence
Rex Liu
Albara Ah Ramli
Huan Zhang
Esha Datta
Xin Liu
75
48
0
29 Mar 2021
LASER: Learning a Latent Action Space for Efficient Reinforcement
  Learning
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
Arthur Allshire
Roberto Martín-Martín
Charles Lin
Shawn Manuel
Silvio Savarese
Animesh Garg
84
57
0
29 Mar 2021
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval
Aneeshan Sain
A. Bhunia
Yongxin Yang
Tao Xiang
Yi-Zhe Song
96
82
0
29 Mar 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of
  Set-Structured Data
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Jinwoo Kim
Jaehoon Yoo
Juho Lee
Seunghoon Hong
BDLDRL3DPC
92
83
0
29 Mar 2021
Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
87
126
0
29 Mar 2021
Transitional Learning: Exploring the Transition States of Degradation
  for Blind Super-resolution
Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution
Yuanfei Huang
Jie Li
Yanting Hu
Xinbo Gao
Huan Huang
78
5
0
29 Mar 2021
Meta-Mining Discriminative Samples for Kinship Verification
Meta-Mining Discriminative Samples for Kinship Verification
Wanhua Li
Shiwei Wang
Jiwen Lu
Jianjiang Feng
Jie Zhou
79
20
0
28 Mar 2021
When Few-Shot Learning Meets Video Object Detection
When Few-Shot Learning Meets Video Object Detection
Zhongjie Yu
Gaoang Wang
Lin Chen
S. Raschka
Jiebo Luo
ObjD
120
1
0
26 Mar 2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
Baoquan Zhang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
78
43
0
26 Mar 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and
  Execution
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Fangqiu Yi
Baoxiong Jia
Song-Chun Zhu
Yixin Zhu
134
72
0
26 Mar 2021
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Amirreza Shaban
Amir M. Rahimi
Thalaiyasingam Ajanthan
Byron Boots
Leonid Sigal
WSOD
47
5
0
25 Mar 2021
A Meta-Reinforcement Learning Approach to Process Control
A Meta-Reinforcement Learning Approach to Process Control
Daniel G. McClement
Nathan P. Lawrence
Philip D. Loewen
M. Forbes
Johan U. Backstrom
R. Bhushan Gopaluni
54
8
0
25 Mar 2021
Orthogonal Projection Loss
Orthogonal Projection Loss
Kanchana Ranasinghe
Muzammal Naseer
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
VLM
74
73
0
25 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot
  Classification
Universal Representation Learning from Multiple Domains for Few-shot Classification
Weihong Li
Xialei Liu
Hakan Bilen
SSLOODVLM
101
88
0
25 Mar 2021
Spirit Distillation: Precise Real-time Semantic Segmentation of Road
  Scenes with Insufficient Data
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data
Zhiyuan Wu
Yu-Gang Jiang
Chupeng Cui
Zongmin Yang
Xinhui Xue
Hong Qi
51
5
0
25 Mar 2021
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