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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
Towards Informed Design and Validation Assistance in Computer Games
  Using Imitation Learning
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning
Alessandro Sestini
Joakim Bergdahl
Konrad Tollera
Andrew D. Bagdanov
Linus Gisslén
68
9
0
15 Aug 2022
Visual Localization via Few-Shot Scene Region Classification
Visual Localization via Few-Shot Scene Region Classification
Siyan Dong
Shuzhe Wang
Yixin Zhuang
Arno Solin
Marc Pollefeys
Bin Chen
56
35
0
14 Aug 2022
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple
  Imbalanced Treatment Effects
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects
Guanglin Zhou
Lina Yao
Xiwei Xu
Chen Wang
Liming Zhu
OODCMLBDL
62
2
0
13 Aug 2022
Bidirectional Feature Globalization for Few-shot Semantic Segmentation
  of 3D Point Cloud Scenes
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes
Yongqiang Mao
Zonghao Guo
Xiaonan Lu
Zhiqiang Yuan
Haowen Guo
3DPC
133
32
0
13 Aug 2022
GEDI: A Graph-based End-to-end Data Imputation Framework
GEDI: A Graph-based End-to-end Data Imputation Framework
Kaizhong Chen
Xiuqin Liang
Zheng Ma
Zhibin Zhang
33
5
0
13 Aug 2022
Memorizing Complementation Network for Few-Shot Class-Incremental
  Learning
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Zhong Ji
Zhi Hou
Xiyao Liu
Yanwei Pang
Xuelong Li
CLL
76
50
0
11 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani
Oliver Hahn
Eduard Zamfir
Nikita Araslanov
Zorah Lähner
Stefan Roth
OODTTAVLM
114
7
0
10 Aug 2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for
  Sequential Recommendation
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
Jing Du
Zesheng Ye
Lina Yao
Bin Guo
Zhiwen Yu
AI4TS
73
13
0
09 Aug 2022
Understanding Weight Similarity of Neural Networks via Chain
  Normalization Rule and Hypothesis-Training-Testing
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing
Guangcong Wang
Guangrun Wang
Wenqi Liang
Jianhuang Lai
38
4
0
08 Aug 2022
Class-Incremental Learning with Cross-Space Clustering and Controlled
  Transfer
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer
Arjun Ashok
K. J. Joseph
V. Balasubramanian
CLL
61
29
0
07 Aug 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang
Ruiyu Wang
Xinrun Wang
Zhen Wang
OffRL
58
3
0
07 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique
Convolutional Ensembling based Few-Shot Defect Detection Technique
Soumyajit Karmakar
Abeer Banerjee
P. Gidde
Sumeet Saurav
S. Singh
UQCV
82
3
0
05 Aug 2022
Improving Task Generalization via Unified Schema Prompt
Improving Task Generalization via Unified Schema Prompt
Wanjun Zhong
Yifan Gao
Ning Ding
Zhiyuan Liu
Ming Zhou
Jiahai Wang
Jian Yin
Nan Duan
84
8
0
05 Aug 2022
Low-Resource Dense Retrieval for Open-Domain Question Answering: A
  Comprehensive Survey
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
Xiaoyu Shen
Svitlana Vakulenko
Marco Del Tredici
Gianni Barlacchi
Bill Byrne
Adria de Gispert
RALMVLM
75
20
0
05 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen
Xiaolong Wang
AI4CE
106
68
0
04 Aug 2022
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
A. Kanduri
Sina Shahhosseini
Emad Kasaeyan Naeini
Hamid Alikhani
P. Liljeberg
N. Dutt
Amir M. Rahmani
93
7
0
04 Aug 2022
Improving Meta-Learning Generalization with Activation-Based
  Early-Stopping
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy
C. Pal
Gonçalo Mordido
Sarath Chandar
125
3
0
03 Aug 2022
Sequence Model Imitation Learning with Unobserved Contexts
Sequence Model Imitation Learning with Unobserved Contexts
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
OffRL
94
27
0
03 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic
  Meta-Learning
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais
S. Chatzis
BDL
92
9
0
02 Aug 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to
  Outperform MAML and Their Empirical Equivalence
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
Alycia Lee
P. Yu
Yu-Xiong Wang
Oluwasanmi Koyejo
85
10
0
02 Aug 2022
Detecting Individual Decision-Making Style: Exploring Behavioral
  Stylometry in Chess
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
Reid McIlroy-Young
Russell Wang
Siddhartha Sen
Jon M. Kleinberg
Ashton Anderson
50
22
0
02 Aug 2022
Robotic Interestingness via Human-Informed Few-Shot Object Detection
Robotic Interestingness via Human-Informed Few-Shot Object Detection
Seungchan Kim
Chen Wang
Bowen Li
Sebastian Scherer
60
4
0
01 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function
  Classes
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg
Dimitris Tsipras
Percy Liang
Gregory Valiant
160
514
0
01 Aug 2022
Visual Interpretable and Explainable Deep Learning Models for Brain
  Tumor MRI and COVID-19 Chest X-ray Images
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images
Yusuf Brima
M. Atemkeng
FAttMedIm
76
1
0
01 Aug 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation
  and Complexity Analysis
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
Tao Li
Haozhe Lei
Quanyan Zhu
AAML
98
7
0
29 Jul 2022
Meta Reinforcement Learning with Successor Feature Based Context
Meta Reinforcement Learning with Successor Feature Based Context
Xu Han
Feng Wu
OffRLLRM
81
3
0
29 Jul 2022
Conservative Generator, Progressive Discriminator: Coordination of
  Adversaries in Few-shot Incremental Image Synthesis
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis
Chaerin Kong
Nojun Kwak
CLL
96
0
0
29 Jul 2022
Meta-Learning based Degradation Representation for Blind
  Super-Resolution
Meta-Learning based Degradation Representation for Blind Super-Resolution
Bin Xia
Yapeng Tian
Yulun Zhang
Yucheng Hang
Wenming Yang
Q. Liao
SupR
83
20
0
28 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang
Xixi Jia
Quanziang Wang
Yichen Wu
Deyu Meng
64
16
0
28 Jul 2022
Towards Sleep Scoring Generalization Through Self-Supervised
  Meta-Learning
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning
Abdelhak Lemkhenter
Paolo Favaro
103
8
0
27 Jul 2022
Look at Adjacent Frames: Video Anomaly Detection without Offline
  Training
Look at Adjacent Frames: Video Anomaly Detection without Offline Training
Yuqi Ouyang
Guodong Shen
Victor Sanchez
OffRL
95
4
0
27 Jul 2022
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual
  Meta-Learning
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning
Shixing Yu
Yi Ma
Wenhan Yang
Wei Xiang
Jiaying Liu
3DH
137
0
0
27 Jul 2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo
  Adaptation
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
Kwonyoung Kim
Jungin Park
Jiyoung Lee
Dongbo Min
Kwanghoon Sohn
3DPC
77
4
0
27 Jul 2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update
  and Hyper-class Representation
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation
Guangchen Shi
Yirui Wu
Jing Liu
Shaohua Wan
Wenhai Wang
Tong Lu
CLL
115
35
0
26 Jul 2022
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot
  Classification
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
Rakshith Subramanyam
Mark Heimann
Jayram S. Thathachar
Rushil Anirudh
Jayaraman J. Thiagarajan
CLL
40
2
0
25 Jul 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary
  Differential Equations
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations
Achkan Salehi
Steffen Rühl
Stéphane Doncieux
AI4CE
90
2
0
25 Jul 2022
Few-Shot Object Detection by Knowledge Distillation Using
  Bag-of-Visual-Words Representations
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
Wenjie Pei
Shuang Wu
Dianwen Mei
Fanglin Chen
Jiandong Tian
Guangming Lu
VLM
49
11
0
25 Jul 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and
  Applications
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedMLOODAI4CE
117
38
0
24 Jul 2022
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic
  Approach
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach
Jesse Read
OOD
70
3
0
24 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen Ma
Zixuan Liu
Xue Liu
196
39
0
24 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Tao Zhang
Wu Huang
74
14
0
24 Jul 2022
Self-Support Few-Shot Semantic Segmentation
Self-Support Few-Shot Semantic Segmentation
Qi Fan
Wenjie Pei
Yu-Wing Tai
Chi-Keung Tang
99
147
0
23 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Li Xu
Haoxuan Qu
Jason Kuen
Jiuxiang Gu
Jun Liu
CML
93
27
0
23 Jul 2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object
  Detection
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection
Shuang Wu
Wenjie Pei
Dianwen Mei
Fanglin Chen
Jiandong Tian
Guangming Lu
VLMObjD
75
31
0
22 Jul 2022
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Kibok Lee
Hao Yang
Satyaki Chakraborty
Zhaowei Cai
Gurumurthy Swaminathan
Avinash Ravichandran
Onkar Dabeer
111
22
0
22 Jul 2022
Meta-Registration: Learning Test-Time Optimization for Single-Pair Image
  Registration
Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration
Zachary Michael Cieman Baum
Yipeng Hu
D. Barratt
127
2
0
22 Jul 2022
Few-shot Image Generation Using Discrete Content Representation
Few-shot Image Generation Using Discrete Content Representation
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
DiffM
84
11
0
22 Jul 2022
Inductive and Transductive Few-Shot Video Classification via Appearance
  and Temporal Alignments
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
Khoi Duc Minh Nguyen
Quoc-Huy Tran
Khoi Nguyen
Binh-Son Hua
Rang Nguyen
116
29
0
21 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yan Huang
Qihang Lin
N. Street
Stephen Seung-Yeob Baek
FedML
75
9
0
21 Jul 2022
MetaComp: Learning to Adapt for Online Depth Completion
MetaComp: Learning to Adapt for Online Depth Completion
Y. Chen
Shanshan Zhao
Wei Ji
Biwei Huang
Liping Xie
OODCLLVLM
95
1
0
21 Jul 2022
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